
Suwon, South Korea - November 18, 2025
141-36 Botong-ri, Jeongnam-myeon, Hwaseong-si,
Gyeonggi-do, South Korea
TestConX, over the course of its twenty-six-year history, has established itself as the preeminent event for test consumables, test cell integration, and test operations. The program scope includes packaged semiconductor “final” test, burn-in, system level test, and beyond to encompass all practical aspects of electronics testing such as validation, advanced packaging testing, module test, and finished product test.
Please join us for our 3rd annual TestConX Korea! Don’t miss this opportunity to be part of TestConX as we connect a larger community of test professionals and to participate in this excellent event!
Tuesday November 18, 2025
9:00
9:15
“๋ชจ๋ธ๋งโ์คํ ํตํฉ ๊ธฐ๋ฐ NkW๊ธ ์ด๊ด๋ฆฌ ์์คํ ์ต์ ํ ์ฐ๊ตฌ”
Abstract - Biography (English)
The continuous increase in power density and heat generation of advanced semiconductor devices is creating new challenges in wafer-level thermal management.
While steady-state analyses have provided effective design baselines, dynamic temperature behavior under transient conditions now demands faster and more responsive thermal control.
This work introduces an integrated framework that combines physics-based modeling with experimental validation to accelerate the development of high-capacity thermal management systems.
Iterative correlation between simulation and experiment continuously refines both modeling fidelity and experimental accuracy, establishing a reliable foundation for quantitative analysis and optimization.
The proposed correlation-driven development approach improves efficiency and predictive confidence, enabling scalable thermal management solutions for next-generation high-power probing environments.
Biography
Joseph Moon is a Senior Engineering Manager at Semics Korea R&D, specializing in advanced thermal management systems for semiconductor test applications.
His work focuses on system-level heat dissipation design and modelโexperiment integration for next-generation high-power probers.
์ด๋ก (Korean)
์์ฝ
์จ์ดํผ ๋ ๋ฒจ ํ ์คํธ์์ ์ด ๋ฐ์ด๋์ด ์ง์์ ์ผ๋ก ์ฆ๊ฐํจ์ ๋ฐ๋ผ, ์ด ๊ด๋ฆฌ ๋ถ์ผ์๋ ์๋ก์ด ๊ธฐ์ ์ ๋์ ์ด ์๊ตฌ๋๊ณ ์๋ค.
๊ธฐ์กด์ ์ ์์ํ(steady-state) ์ด ํด์์ ํจ๊ณผ์ ์ธ ์ค๊ณ ๊ธฐ์ค์ผ๋ก ํ์ฉ๋์ด ์์ผ๋, ๋์ ์จ๋ ๊ฑฐ๋์ด ์ ์ฐจ ์ค์ํด์ง์ ๋ฐ๋ผ, ์์ ์ ์ด๋ฉด์๋ ๋น ๋ฅธ ์๋ต์ฑ์ ํ๋ณดํ ์ ์๋ ์๋ก์ด ์ ๊ทผ ๋ฐฉ์์ด ํ์ํ๋ค.
๋ณธ ์ฐ๊ตฌ์์๋ ๋ฌผ๋ฆฌ ๊ธฐ๋ฐ ๋ชจ๋ธ๋ง๊ณผ ์คํ์ ๊ฒ์ฆ์ ํตํฉํ ๊ฐ๋ฐ ํ๋ ์์ํฌ๋ฅผ ์ ์ํ๋ค.
์๋ฎฌ๋ ์ด์ ๊ณผ ์คํ ๊ฐ์ ๋ฐ๋ณต์ ์ธ ์๊ด(Correlation) ๊ณผ์ ์ ํตํด ๋ชจ๋ธ์ ์ ๋ฐ๋์ ์คํ์ ์ ํ๋๋ฅผ ์ง์์ ์ผ๋ก ํฅ์์์ผฐ์ผ๋ฉฐ, ์ด๋ฅผ ํตํด ์ ๋์ ๋ถ์ ๋ฐ ์์คํ ์ต์ ํ๋ฅผ ์ํ ์ ๋ขฐ์ฑ ๋์ ๊ธฐ๋ฐ์ ๊ตฌ์ถํ์๋ค.
๋ณธ Correlation ๊ธฐ๋ฐ ๊ฐ๋ฐ ์ ๊ทผ๋ฒ์ ๊ฐ๋ฐ ํจ์จ์ฑ๊ณผ ์์ธก ์ ๋ขฐ๋๋ฅผ ๋์์ ๊ฐ์ ํ๋ฉฐ, ์ฐจ์ธ๋ ๊ณ ์ถ๋ ฅ ํ๋ก๋น ํ๊ฒฝ์ ๋์ ๊ฐ๋ฅํ ํ์ฅํ ์ด ๊ด๋ฆฌ ์๋ฃจ์ ๊ตฌํ์ ๊ฐ๋ฅ์ฑ์ ์ ์ํ๋ค.

“์์คํ ๋ ๋ฒจ ํ ์คํธ(SLT): ์นฉ๋ ๊ธฐ๋ฐ AIยทHPC ๋๋ฐ์ด์ค์์์ ํ์์ฑ”
Abstract - Biography (English)
Chiplet-based product development has been around for a few years now, but it has mostly been achieved using chiplets designed within the same company (with only HBM stacks sourced externally). As a result, this has largely remained a homogeneous integration.
The industry is now moving toward true heterogeneous integration, where different chiplets from multiple vendors are combined along with HBM stacks from memory vendors. Heterogeneous packaging, combined with chiplet-based architectures, enables High-Performance Computing (HPC) and AI device development in shorter timelines while providing flexibility to integrate chiplets from various process nodes. This creates powerful, scalable, and energy-efficient solutions.
However, these new possibilities bring unprecedented testing challenges at both the wafer level and package level. Compared to monolithic SoCs, chiplet-based heterogeneous packaging introduces unique test challenges related to DFT, D2D interconnect, traceability, and security.
While ATE-based test solutions are well established for creating Known Good Die (KGD) in monolithic devices (with mature EDA tools supporting fault coverage), in heterogeneous integration, the functionality of the final packaged device cannot be defined by the individual KGDs alone.
Technologies such as Through-Silicon Vias (TSVs) enabling 3D ICs, and interposers/substrates that interconnect dies, introduce additional electrical parasitics and IR voltage drop. Device performance is also influenced by thermal effects from neighboring dies within the same package, which must be accounted for during testing.
Another growing concern is Silent Data Corruption (SDC)โerrors in hardware that go undetected. These are difficult to diagnose and may be exacerbated by silicon degradation and hardware aging.
These challenges in testing chiplet-based AI and HPC devices are making System Level Test (SLT) increasingly necessary in addition to traditional ATE-based test flows.
This presentation will cover the need for SLT, the associated challenges, and several SLT case studies.
Yogan Senthilkumar
Chief Technology Officer, iVP Semiconductor
Yogan Senthilkumar has over 35 years of experience in the field of Semiconductor Test. He currently works for iVP Semiconductor as Chief Technology Officer, where he has helped several customers develop test solutions for Digital, PIMIC, Mixed Signal, and RF Devices, and deploy them to volume production at OSAT.
In his earlier role at Tessolve, he served as Vice President of Engineering, where he was instrumental in implementing several test process automation initiatives to build robust test programs for Wafer Test and Final Test, and in applying AI to hardware and test program development.
Earlier in his career, Yogan worked with Teradyne Asia's Test Application Group in Singapore, handling test engineering projects from Teradyne US and Europe. He has also worked for Salland Engineering, National Semiconductor, and SPEL. He has presented papers on test techniques at conferences including TUG, Semicon, and OCP, and has written articles in Test and Measurement World and Semiconductor Manufacturing.
์ด๋ก - ์ ๊ธฐ (Korean)
์นฉ๋ ๊ธฐ๋ฐ ์ ํ ๊ฐ๋ฐ์ ์ด๋ฏธ ๋ช ๋ ์ ๋ถํฐ ์๋๋์ด ์์ต๋๋ค. ํ์ง๋ง ์ง๊ธ๊น์ง๋ ๋๋ถ๋ถ ์์ฌ์์ ์ค๊ณํ ์นฉ๋ ๊ณผ ์ธ๋ถ ์ ์ฒด์ HBM์คํ์ ์กฐํฉํ๋ ์์ค์ ๋จธ๋ฌผ๋ฌ, ์ฌ์ค์ ๋์ข ํตํฉ์ ๊ฐ๊น์ ์ต๋๋ค.
์ต๊ทผ์๋ ์๋ก ๋ค๋ฅธ ๋ฒค๋์ ์นฉ๋ ๊ณผ ๋ฉ๋ชจ๋ฆฌ ์ ์ฒด์ HBM ์คํ์ ๊ฒฐํฉํ๋ ์ด์ข ํตํฉ์ผ๋ก ์ฐ์ ์ด ๋น ๋ฅด๊ฒ ์ด๋ํ๊ณ ์์ต๋๋ค. ์นฉ๋ ์ํคํ ์ฒ์ ์ด์ข ํจํค์ง์ HPC์ AI ๋๋ฐ์ด์ค ๊ฐ๋ฐ ์๋๋ฅผ ํฌ๊ฒ ๋จ์ถ์ํค๊ณ , ๋ค์ํ ๊ณต์ ๋ ธ๋์ ์นฉ๋ ์ ์ ์ฐํ๊ฒ ํตํฉํ ์ ์๋ ์ฅ์ ์ ์ ๊ณตํฉ๋๋ค. ์ด๋ฅผ ํตํด ๊ฐ๋ ฅํ๊ณ ํ์ฅ ๊ฐ๋ฅํ๋ฉฐ, ์๋์ง ํจ์จ์ ์ธ ์๋ฃจ์ ์ ๊ตฌํํ ์ ์์ต๋๋ค.
ํ์ง๋ง ์ด๋ฐ ๊ฐ๋ฅ์ฑ์ ๋์์ ์จ์ดํผ ๋ ๋ฒจ๊ณผ ํจํค์ง ๋ ๋ฒจ์์ ์๋ก์ด ํ ์คํธ ๊ณผ์ ๋ฅผ ๋ถ๋ฌ์ต๋๋ค. ๋ชจ๋๋ฆฌ์ SoC์ ๋ฌ๋ฆฌ, ์นฉ๋ ๊ธฐ๋ฐ ์ด์ข ํจํค์ง์ DFT, D2D์ธํฐ์ปค๋ฅํธ, ์ถ์ ์ฑ, ๋ณด์ ๋ฑ์์ ๋ ํนํ ํ ์คํธ ๋ฌธ์ ๋ฅผ ๋๋ฐํฉ๋๋ค.
๊ธฐ์กด ATE๊ธฐ๋ฐ ํ ์คํธ์ KGDํ๋ณด ๋ฐฉ๋ฒ์ ๋ชจ๋๋ฆฌ์ ํ๊ฒฝ์์๋ ์ถฉ๋ถํ ์ฑ์ํ์ง๋ง, ์นฉ๋ ๊ธฐ๋ฐ ์ด์ข ํตํฉ์์๋ ๊ฐ๋ณ KGD๋ง์ผ๋ก๋ ํจํค์ง ์ ์ฒด์ ๊ธฐ๋ฅ์ ๋ณด์ฅํ ์ ์์ต๋๋ค. ๋ํ TSV๋ฅผ ํ์ฉํ 3D IC์ ๋ค์ด๋ฅผ ์ฐ๊ฒฐํ๋ ์ธํฐํฌ์ ยท์๋ธ์คํธ๋ ์ดํธ ๊ธฐ์ ์ ์ ๊ธฐ์ ๊ธฐ์ํจ๊ณผ์ IR๋๋กญ์ ์ง์ ์ ์ธ ์ํฅ์ ์ค๋๋ค. ํจํค์ง ๋ด๋ถ์์ ์ ๋ฐ๋ฆฌ๋ฏธํฐ ๊ฐ๊ฒฉ์ผ๋ก ๋ฐฐ์น๋ ๋ค์ด ๊ฐ ์ด๊ฐ์ญ ์ญ์ ์ฑ๋ฅ ์ ํ ์์ธ์ด๋ฏ๋ก ํ ์คํธ ๋จ๊ณ์์ ๋ฐ๋์ ๊ณ ๋ คํด์ผ ํฉ๋๋ค.
ํนํ, ํ๋์จ์ด ์ค๋ฅ๊ฐ ํ์ง๋์ง ์๊ณ ์ง๋์น๋ SDC๋ฌธ์ ๋ ์ ์ ๋ ํฐ ์ฐ๋ ค ์ฌํญ์ผ๋ก ๋ ์ค๋ฅด๊ณ ์์ต๋๋ค. ์ด๋ ์ค๋ฆฌ์ฝ๊ณผ ํ๋์จ์ด์ ์ดํยท๋ ธํ์ ํฌ๊ฒ ์ข์ฐ๋๋ฉฐ, ์์ธ ์ง๋จ์ด ์ด๋ ต๋ค๋ ์ ์์ ์์คํ ์ ๋ขฐ์ฑ์ ์ฌ๊ฐํ ๋ฆฌ์คํฌ๋ฅผ ์ด๋ํ ์ ์์ต๋๋ค.
๋ฐ๋ผ์ ์นฉ๋ ๊ธฐ๋ฐ AIยทHPC ๋๋ฐ์ด์ค์์๋ ๊ธฐ์กด ATE ๊ธฐ๋ฐ ํ ์คํธ๋ง์ผ๋ก๋ ํ๊ณ๊ฐ ์์ผ๋ฉฐ, ์์คํ ๋ ๋ฒจ ํ ์คํธ์ ๋์ ์ด ํ์์ ์ด๋ผ๋ ์ ์ด ์ ์ ๋ ๋ถ๋ช ํด์ง๊ณ ์์ต๋๋ค. ๋ณธ ๋ฐํ์์๋ SLT์ ํ์์ฑ๊ณผ ์ฃผ์ ๊ณผ์ , ๊ทธ๋ฆฌ๊ณ ์ค์ ์ ์ฉ ์ฌ๋ก๋ฅผ ์๊ฐํ๊ณ ์ ํฉ๋๋ค.
Yogan Senthilkumar๋ ๋ฐ๋์ฒด ํ ์คํธ ๋ถ์ผ์์ 35๋ ์ด์์ ๊ฒฝํ์ ๋ณด์ ํ๊ณ ์์ต๋๋ค.
ํ์ฌ iVP Semiconductor์์ CTO๋ก ์ฌ์ง ์ค์ด๋ฉฐ, ๋์งํธ, PIMIC, Mixed Signal, RF ๋๋ฐ์ด์ค์ ํ ์คํธ ์๋ฃจ์ ๊ฐ๋ฐ์ ๊ณ ๊ฐ๋ค๊ณผ ํจ๊ป ์ถ์งํ๊ณ , ์ด๋ฅผ OSAT์์ ์์ฐ ๋จ๊ณ๊น์ง ์ฑ๊ณต์ ์ผ๋ก ์ ์ฉํ๋ ๋ฐ ๊ธฐ์ฌํด ์์ต๋๋ค.
์ด์ ์๋ Tessolve์์ Vice President Engineering์ผ๋ก ๊ทผ๋ฌดํ๋ฉด์, ์จ์ดํผ ํ ์คํธ์ ์ต์ข ํ ์คํธ๋ฅผ ์ํ ์์ ์ ์ธ ํ ์คํธ ํ๋ก๊ทธ๋จ์ ๊ตฌ์ถํ๊ธฐ ์ํด ๋ค์ํ ํ ์คํธ ํ๋ก์ธ์ค ์๋ํ๋ฅผ ์ฃผ๋ํ์ต๋๋ค. ๋ํ ํ๋์จ์ด ๋ฐ ํ ์คํธ ํ๋ก๊ทธ๋จ ๊ฐ๋ฐ์ AI๋ฅผ ์ ์ฉํ๋ ๋ฐ ์ค์ํ ์ญํ ์ ํ์ต๋๋ค.
๊ฒฝ๋ ฅ ์ด๊ธฐ์๋ ์ฑ๊ฐํฌ๋ฅด์ Teradyne Asia Test Application Group์์ ๊ทผ๋ฌดํ๋ฉฐ, ๋ฏธ๊ตญ๊ณผ ์ ๋ฝ Teradyne ๋ณธ์ฌ์ ํ ์คํธ ์์ง๋์ด๋ง ํ๋ก์ ํธ๋ฅผ ๋ด๋นํ์ต๋๋ค. ์ดํ Salland Engineering, National Semiconductor, SPEL์์๋ ๊ฒฝ๋ ฅ์ ์์์ต๋๋ค.
๋ํ TUG, Semicon, OCP ๋ฑ ๋ค์ํ ์ปจํผ๋ฐ์ค์์ ํ ์คํธ ๊ธฐ๋ฒ๊ณผ ๊ด๋ จ๋ ๋ ผ๋ฌธ์ ๋ฐํํ์ผ๋ฉฐ, Test and Measurement World ๋ฐ Semicon Manufacturing์ ๋ค์์ ๊ธฐ์ ๊ธฐ๊ณ ๋ฌธ์ ์์ฑํ ๋ฐ ์์ต๋๋ค.

10:15
Break & Networking
Enjoy time to meet with the presenters and network while refreshments are served.10:45
“์ฒจ๋จ ํจํค์ง์ ํตํ ๋ฐ๋์ฒด ๋ฏธ๋์ ๋ฐฉํฅ๊ณผ ํ์ ”
Abstract (English)
The semiconductor industry is entering an era where traditional transistor scaling alone can no longer meet the demands for higher performance, lower power consumption, and increased functionality.
Advanced packaging technologies are emerging as critical enablers to extend system performance and integration beyond the limits of Mooreโs Law.
This keynote will provide a comprehensive overview of current and future trends in advanced packaging, highlighting innovations that are reshaping the landscape of high-performance computing, AI accelerators, mobile devices, and heterogeneous integration. Topics will include the evolution of 2.5D/3D integration, chiplet architectures, and heterogeneous system-in-package solutions; advancements in interposer technologies such as silicon, glass, and organic substrates; fine-pitch interconnect innovations including hybrid bonding and advanced RDL; and emerging thermal management solutions for high-power packages.
Attendees will gain insights into the technology roadmap, key research directions, and collaborative opportunities bridging academia and industry to meet the demands of the AI and data-driven era.
์ด๋ก (Korean)
๋ฐ๋์ฒด ์ฐ์ ์ ๋ ๋์ ์ฑ๋ฅ, ๋ฎ์ ์ ๋ ฅ ์๋น, ๊ทธ๋ฆฌ๊ณ ๊ธฐ๋ฅ ํ์ฅ์ ์๊ตฌํ๋ ์๋์ ์ ์ด๋ค์์ง๋ง, ์ ํต์ ์ธ ํธ๋์ง์คํฐ ์ค์ผ์ผ๋ง๋ง์ผ๋ก๋ ์ด๋ฅผ ์ถฉ์กฑํ๊ธฐ ์ด๋ ค์ด ์ํฉ์ ์ง๋ฉดํ๊ณ ์์ต๋๋ค. ์ด์ ๋ฐ๋ผ ์ฒจ๋จ ํจํค์ง ๊ธฐ์ ์ ๋ฌด์ด์ ๋ฒ์น ํ๊ณ๋ฅผ ๋์ด ์์คํ ์ฑ๋ฅ๊ณผ ์ง์ ๋๋ฅผ ํ์ฅํ ์ ์๋ ํต์ฌ ๋๋ ฅ์ผ๋ก ๋ถ์ํ๊ณ ์์ต๋๋ค. ์ด๋ฒ ๊ธฐ์กฐ๊ฐ์ฐ์์๋ ์ฒจ๋จ ํจํค์ง์ ํ์ฌ์ ๋ฏธ๋ ๋ํฅ์ ์ข ํฉ์ ์ผ๋ก ๋ค๋ฃจ๋ฉฐ, ๊ณ ์ฑ๋ฅ ์ปดํจํ , AI ๊ฐ์๊ธฐ, ๋ชจ๋ฐ์ผ ๊ธฐ๊ธฐ, ์ด์ข ์ง์ (heterogeneous integration) ๋ถ์ผ๋ฅผ ๋ณํ์ํค๊ณ ์๋ ํ์ ๋ค์ ์กฐ๋งํฉ๋๋ค. ์ฃผ์ ์ฃผ์ ๋ 2.5D/3D ์ง์ ๊ณผ ์นฉ๋ ์ํคํ ์ฒ, ์ด์ข ์์คํ ์ธ ํจํค์ง(System-in-Package) ์๋ฃจ์ ์ ๋ฐ์ , ์ค๋ฆฌ์ฝยท๊ธ๋ผ์คยท์ ๊ธฐ ๊ธฐํ ๊ธฐ๋ฐ ์ธํฐํฌ์ ๊ธฐ์ ์ ์งํ, ํ์ด๋ธ๋ฆฌ๋ ๋ณธ๋ฉ ๋ฐ ์ฒจ๋จ RDL๊ณผ ๊ฐ์ ๋ฏธ์ธ ํผ์น ์ธํฐ์ปค๋ฅํธ ํ์ , ๊ทธ๋ฆฌ๊ณ ๊ณ ์ ๋ ฅ ํจํค์ง๋ฅผ ์ํ ์๋ก์ด ์ด ๊ด๋ฆฌ ๊ธฐ์ ์ ํฌํจํฉ๋๋ค. ์ฐธ์์๋ค์ ๊ธฐ์ ๋ก๋๋งต๊ณผ ์ฃผ์ ์ฐ๊ตฌ ๋ฐฉํฅ, ๊ทธ๋ฆฌ๊ณ ํ๊ณ์ ์ฐ์ ๊ณ ๊ฐ ํ๋ ฅ ๊ธฐํ๋ฅผ ํตํด AI ๋ฐ ๋ฐ์ดํฐ ์ค์ฌ ์๋์ ์๊ตฌ๋ฅผ ์ถฉ์กฑํ๊ธฐ ์ํ ์ธ์ฌ์ดํธ๋ฅผ ์ป์ ์ ์์ ๊ฒ์ ๋๋ค.

Professor Hak-Sung Kim is an internationally recognized expert in advanced semiconductor packaging and reliability engineering. As a professor at Hanyang University, he has published over 200 journal papers, holds 227 patents, and has led major academia–industry collaborations generating significant research funding and technology transfers. His pioneering contributions include eco-friendly high-density interconnects, terahertz-based nondestructive inspection, and innovative packaging processes enhancing 3D/heterogeneous integration. Currently serving as Associate Editor of Microelectronics Reliability, he continues to drive advances in sustainable and reliable semiconductor packaging technologies bridging academic research with industrial applications.
“์์ฅ๋ณํ์์์ ๊ธธ์ ์ฐพ๋ค: AI ์๋, ๋ฒ์ธ ํ ์คํธ์ ์์ผ ์ ๋ง”
Abstract - Biography (English)
The explosive growth of artificial intelligence is creating new challenges and market imbalances within the semiconductor industry. At the same time, governments are intervening through subsidies, tariffs, and other protectionist policies. The result of these powerful drivers will be a redefinition of global competition across the supply chain. This presentation examines how these forces are driving todayโs market transformation and their implications for suppliers and buyers of test and burn-in sockets, highlighting both the risks and opportunities that lie ahead.
John West is a Senior Director of the Semiconductor Subsystems and Test Division at Yole Group. He has over 20 years of industry experience and a successful track record in various strategy and consulting projects.
John has a Bachelor's degree in Medical Physics from King's College London and an MBA from Cranfield School of Management.
์ด๋ก - ์ ๊ธฐ (Korean)
AI์ ๋๋ถ์ ์ฑ์ฅ์ ๋ฐ๋์ฒด ์ฐ์ ์ ์๋ก์ด ๊ณผ์ ์ ์์ฅ ๋ถ๊ท ํ์ ์ด๋ํ๊ณ ์์ต๋๋ค.
๋์์ ๊ฐ๊ตญ ์ ๋ถ๋ ๋ณด์กฐ๊ธ, ๊ด์ธ ๋๋ ๊ธฐํ ๋ณดํธ๋ฌด์ญ ์ ์ฑ ์ ํตํด ์์ฅ์ ๊ฐ์ ํ๊ณ ์์ต๋๋ค.
์ด๋ฌํ ์์ธ๋ค์ ์ ์ธ๊ณ ๊ณต๊ธ๋ง ๊ฒฝ์ ๊ตฌ๋๋ฅผ ๊ทผ๋ณธ์ ์ผ๋ก ์ฌ์ ์ํ ๊ฒ์ ๋๋ค.
์ด๋ฒ ๋ฐํ์์๋ ์ด๋ฌํ ์์ธ๋ค์ด ์ค๋๋ ์์ฅ ๋ณํ๋ฅผ ์ด๋ป๊ฒ ์ด๋๊ณ ์๋์ง, ๊ทธ๋ฆฌ๊ณ ํ ์คํธ ๋ฐ ๋ฒ์ธ ์์ผ ๊ณต๊ธ์ ์ฒด์ ๊ตฌ๋งค์๋ค์ด ์ง๋ฉดํ ์ํ๊ณผ ๊ธฐํ๋ฅผ ์กฐ๋ช ํฉ๋๋ค.
John West๋ Yole Group์ Semiconductor Subsystems and Test Division์ Senior Director์ด๋ค. ๊ทธ๋ 20๋ ์ด์์ ์ ๊ณ ๊ฒฝํ๊ณผ ๋ค์ํ ์ ๋ต ๋ฐ ์ปจ์คํ ํ๋ก์ ํธ์์ ์ฑ๊ณต์ ์ธ ์ค์ ์ ๋ณด์ ํ๊ณ ์๋ค.
John์ King's College London์์ ์๋ฃ ๋ฌผ๋ฆฌํ ํ์ฌ ํ์๋ฅผ ์ทจ๋ํ์ผ๋ฉฐ Cranfield School of Management์์ MBA๋ฅผ ์ทจ๋ํ๋ค.
12:15
Lunch & EXPO
Enjoy the delicious hot buffet lunch and networking time. Then take the time to explore the TestConX EXPO. There will be many great exhibits to connect electronic test professionals to solutions. You will be certain to see something new or meet someone new. As attendees to TestConX know, there is always excellent food, drinks, and time for attendees to network with exhibitors! TestConX EXPO will open at 12:15 and will remain open throughout the afternoon until 18:00
13:30
“ CoWoS ๋ฐ CoPoS๋ฑ ์ง๋ณด๋ ์ด์ข ๊ฐ ํตํฉ ํจํค์ง์ AI-HPC์ ๋ํ ํ ์คํธ insertion ๋ฐ ํ ์คํธ ๊ณผ์ .”
Abstract (English)
Abstract
As AI-HPC (High Performance Computing) solutions continue to evolve from single compute devices (GPUs or Switches) into advanced heterogeneous integrated packages with multiple chiplets (e.g., HBMs, GPUs and Switches with UCIe interfaces, Silicon Photonics ICs, etc.) in a silicon wafer or panel interposer (aka CoW: chip-on-wafer; CoP: chip-on-panel), and then on to the final package substrate (CoWoS: chip-on-wafer-on-substrate), the test complexity is increasing significantly, as well as the number of possible test insertions.
This presentation provides an overview of this trend and related new test challenges which also require new test strategies that will guarantee both known-good-die and known-good-CoW to optimize the overall cost of test, while maximizing the final test insertion yield and quality of the finished CoWoS device.
์ด๋ก (Korean)
์์ฝ
AI-HPC(๊ณ ์ฑ๋ฅ ์ปดํจํ ) ์๋ฃจ์ ์ด ๋จ์ผ ์ปดํจํ ์ฅ์น(GPU ๋๋ ์ค์์น)์์ ์ค๋ฆฌ์ฝ ์จ์ดํผ ๋๋ panel interposer(์ผ๋ช CoW: Chip-on-Wafer; CoP: Chip-on-Panel)์ ์ฌ๋ฌ Chiplet(์: UCIe ์ธํฐํ์ด์ค๊ฐ ์๋ HBM, GPU ๋ฐ ์ค์์น, Silicon Photonics IC ๋ฑ)์ด ํฌํจ๋ ์ง๋ณด๋ ์ด๊ธฐ์ข ํตํฉ ํจํค์ง๋ก, ๊ทธ๋ฆฌ๊ณ ์ต์ข ํจํค์ง ๊ธฐํ(CoWoS: Chip-on-Wafer-on-Substrate)์ผ๋ก ์งํํจ์ ๋ฐ๋ผ ํ ์คํธ ๋ณต์ก์ฑ์ด ํฌ๊ฒ ์ฆ๊ฐํ๊ณ ์์ผ๋ฉฐ, ๊ฐ๋ฅํ ํ ์คํธ insertion ์๋ ์ฆ๊ฐํ๊ณ ์์ต๋๋ค.
์ด ํ๋ ์ ํ ์ด์ ์์๋ ์ด๋ฌํ ์ถ์ธ์ ๊ด๋ จ๋ ์๋ก์ด ํ ์คํธ ๊ณผ์ ์ ๋ํ ๊ฐ์๋ฅผ ์ ๊ณตํ๋ฉฐ, ๋ํ ํ ์คํธ์ ์ ๋ฐ์ ์ธ ๋น์ฉ์ ์ต์ ํํ๋ฉด์ ์ต์ข ํ ์คํธ insertion ์์จ๊ณผ ์์ฑ๋ CoWoS ์ฅ์น์ ํ์ง์ ๊ทน๋ํํ๊ธฐ ์ํด ์๋ ค์ง ์ํธํ Die์ ์๋ ค์ง ์ํธํ CoW๋ฅผ ๋ชจ๋ ๋ณด์ฅํ๋ ์๋ก์ด ํ ์คํธ ์ ๋ต์ด ํ์ํฉ๋๋ค.


Dr. Jeorge S. Hurtarte is currently Senior Director and Principal Marketing Strategist in the Semiconductor Compute Test Division at Teradyne. Jeorge has held various technical, management and executive positions at Teradyne, Lam Research, LitePoint, TranSwitch, and Rockwell Semiconductors. Jeorge is in the Advisory Board of SEMI of North America and serves as co-chair of the IEEE Heterogeneous Integration Roadmap (HIR) Test Chapter. Jeorge holds a PhD in Electrical Engineering, and three master’s degrees (MBA, Computer Science, and Telecommunications). He is also visiting professor at the University of California, Santa Cruz and at the University of Phoenix. He is co-author of the book Understanding Fabless IC Technology.
“์๋กญ๊ฒ ์ฌํธ๋๋ ๋ฐ๋์ฒด ์งํ. ASIC ์ง์์ ๋ถ์๊ณผ 'ๆฐ AI ๋ฐ๋์ฒด' ์ง์์ ํ๊ณต์ ์ ๊ธฐํ”
Abstract (English)
While the AI semiconductor market appears to be dominated by NVIDIA's GPUs, a massive tectonic shift is occurring beneath the surface. As big tech companies like Google (TPU), Amazon (Inferentia), and Meta jump into developing their own AI chips, a transformation of the entire market ecosystem has begun.
This session will analyze the fundamental market changes that the rise of the ASIC camp will bring. Furthermore, it will provide an in-depth perspective on the impact these changes will have on the HBM and foundry ecosystems, and the new market opportunities that will open up for OSATs.
์ด๋ก (Korean)
์ฃผ์ ์ค๋ช : AI ๋ฐ๋์ฒด ์์ฅ์ ์๋น๋์์ GPU๊ฐ ํ์ ํ ๊ฒ์ฒ๋ผ ๋ณด์ด์ง๋ง, ๋ฌผ๋ฐ์์๋ ๊ฑฐ๋ํ ์ง๊ฐ ๋ณ๋์ด ์ผ์ด๋๊ณ ์์ต๋๋ค. ๊ตฌ๊ธ(TPU), ์๋ง์กด(Inferentia), ๋ฉํ ๋ฑ ๋น ํ -ํฌ ๊ธฐ์ ๋ค์ด ์์ฒด AI ์นฉ ๊ฐ๋ฐ์ ๋ฐ์ด๋ค๋ฉด์, ์์ฅ ์ํ๊ณ ์ ๋ฐ์ ๋ํ ๋ณํ๊ฐ ์์๋๊ณ ์์ต๋๋ค.
์ด ์ธ์ ์์๋ ASIC ์ง์์ ๋ถ์์ด ๊ฐ์ ธ์ฌ ์์ฅ์ ๊ทผ๋ณธ์ ์ธ ๋ณํ๋ฅผ ๋ถ์ํฉ๋๋ค. ๋์๊ฐ ์ด๋ฌํ ๋ณํ๊ฐ HBM(๊ณ ๋์ญํญ ๋ฉ๋ชจ๋ฆฌ)๊ณผ ํ์ด๋๋ฆฌ ์ํ๊ณ์ ๋ฏธ์น ์ํฅ, ๊ทธ๋ฆฌ๊ณ OSAT(ํ๊ณต์ ์ธ์ฃผ์ ์ฒด)์๊ฒ ์ด๋ฆด ์๋ก์ด ์์ฅ ๊ธฐํ๋ฅผ ์ฌ๋ ์๊ฒ ์กฐ๋งํฉ๋๋ค.

๊ฐ์ ฏ์์ธ ๋ฏธ๋์ด์ ์ฅ์งํ ๋ํ๋ ํ๊ตญ์ธ๊ตญ์ด๋ํ๊ต๋ฅผ ์กธ์ ํ ํ ํํ๊ทธ๋ฃน ๊ณต์ฑ๋ก ์ปค๋ฆฌ์ด๋ฅผ ์์ํ๋ค. ์ ๋ต/๊ธฐํํ์์ ๊ทผ๋ฌดํ๋ฉฐ IT ๋ถ์ผ์ ๋จธ์ฒ๋ค์ด์ ๋ก ๋ธ๋๋์ ์ํ์ ์ ๊ฐํ์๋ค. ์ดํ ๊ฒฝ์ ์ง ์ด์ฝ๋ ธ๋ฏธ ์กฐ์ ์ IT์ ๋ฌธ ์นผ๋ผ๋์คํธ๋ก ์ ๊ณ์ ์ํฉ๊ณผ ์ ํ๊ธฐ์ ๋ค์ ๋ํ ๊น์ด ์๋ ์ธ์ฌ์ดํธ๋ฅผ ๊ณต์ ํด์๋ค. ํ์ฌ๋ ์ ํ๋ธ ์ฑ๋ ๊ฐ์ ฏ์์ธ์ ํตํด ์ํ๊ณผ ๋ธ๋๋, ๊ธฐ์ ๊ณผ ์ํฉ์ ๊ท ํ๊ฐ์๊ฒ ์กฐ๋งํ๋ ์์ ์นผ๋ผ์ ์ ๊ณตํ๊ณ ์๋ค.
Jihoon Jang, the CEO of Gadgetseoul Media, developed and narrates the highly informative and popular Gadgetseoul YouTube channel focused on semiconductors and technology. Prior to which he was an Information Technology columnist for Economy Chosun. He started his career at Hanwha group as an IT/Tech Merchandiser, managing and promoting many brands and products on the Strategy/Planning team after completing his studies at Hankuk University of Foreign Studies.
15:00
Posters & EXPO
Enjoy time to meet with the presenters and network while refreshments are served.“CPU์ DRAM๊ฐ Rank Margin Tool (RMT) ๋ฐ์ดํฐ์ ๋ํ ๊ธฐ๊ณํ์ต ๊ธฐ๋ฐ ๋ถ์”
Abstract - Biography (English)
Abstract
The Rank Margin Test (RMT) has been used to optimize the channels and Rx/Tx circuits between the Central Processing Unit (CPU) and Dynamic Random-Access Memory (DRAM). The RMT process is an unknown process; machine learning (ML) is applied to analyze the RMT data. Neural networks (NN) and their hyperparameters are optimized in this work to improve trainability.
Biography
Junyong Park received the B.S. degree from Sungkyunkwan University in 2014, and the Ph.D. degree from the Korea Advanced Institute of Science and Technology (KAIST) in 2019. He was with the DRAM design team at SK Hynix from 2019 to 2023, and joined the Missouri University of Science and Technology from 2023 to 2024. He was with Dankook University by 2025, and he is currently with Kyung Hee University as an assistant professor. His current research interests include statistical signal/power integrity for high-speed systems, next-generation packaging, and input/output buffer information specification with an algorithmic modeling interface.
์ด๋ก - ์ ๊ธฐ (Korean)
์ด๋ก
Rank Margin Tool (RMT)๋ ์ค์์ฒ๋ฆฌ์ฅ์น(CPU)์ DRAM๊ฐ ์ก/์์ ํ๋ก ๋ฐ ์ด๋ค์ ์ฐ๊ฒฐํ๋ ๊ณ ์ ์ฑ๋์ ์ต์ ํํ๊ธฐ ์ํด์ ์ฌ์ฉ๋๊ณ ์๋ค. RMT ๋ฐ์ดํฐ๋ ๋ถ์์ด ํ๋ค๊ธฐ ๋๋ฌธ์, ๊ธฐ๊ณ ํ์ต์ ์ด์ฉํ์ฌ RMT ๋ฐ์ดํฐ๋ฅผ ๋ถ์ํ๋ค. ์ผ๋ง๋ ํ์ต์ด ์ ๋๋๊ฐ(trainability)๋ฅผ ํตํด ์ธ๊ณต์ ๊ฒฝ๋ง๊ณผ ๊ทธ์ ํ์ดํผ ํ๋ผ๋ฏธํฐ๋ค์ด ์ต์ ํ๋๋ค.
์ฝ๋ ฅ
๋ณธ ์ฐ๊ตฌ์๋ 2014๋ ์ฑ๊ท ๊ด๋ํ๊ต์์ ํ์ฌ ํ์๋ฅผ, 2019๋ ํ๊ตญ๊ณผํ๊ธฐ์ ์(KAIST)์์ ๋ฐ์ฌ ํ์๋ฅผ ๋ฐ์๋ค. 2019๋ ๋ถํฐ 2023๋ ๊น์ง SKํ์ด๋์ค DRAM ์ค๊ณํ์์ ๊ทผ๋ฌดํ์ผ๋ฉฐ, 2023๋ ๋ถํฐ 2024๋ ๊น์ง ๋ฏธ๊ตญ ๋ฏธ์ฃผ๋ฆฌ ๊ณผํ๊ธฐ์ ๋ํ๊ต(Missouri University of Science and Technology)์ ์ฌ์งํ๋ค. 2024๋ ๋ถํฐ 2025๋ ๊น์ง ๋จ๊ตญ๋ํ๊ต์์ ๊ทผ๋ฌดํ์ผ๋ฉฐ, 2025๋ 9์๋ถ๋ก ๊ฒฝํฌ๋ํ๊ต์์ ์กฐ๊ต์๋ก ์ฌ์ง ์ค์ด๋ค. ๊ทธ์ ์ฃผ์ ์ฐ๊ตฌ ๋ถ์ผ๋ ๊ณ ์ ์์คํ ์ ํต๊ณ์ ์ ํธยท์ ๋ ฅ ๋ฌด๊ฒฐ์ฑ, ์ฐจ์ธ๋ ํจํค์ง, ์๊ณ ๋ฆฌ์ฆ ๋ชจ๋ธ๋ง ์ธํฐํ์ด์ค๋ฅผ ์ด์ฉํ ์ ์ถ๋ ฅ ๋ฒํผ ์ ๋ณด ์ฌ์(IBIS) ๋ฑ์ ํฌํจํ๋ค.
“์๋์ฐจ์ฉ ๊ณ ์ ์ DUT ์ ์ ๊ณต๊ธ IC testing”
Abstract (English)
Abstract
The automotive industry's rapid evolution toward electrification and advanced driver assistance systems (ADAS) has dramatically increased demands for semiconductor components capable of withstanding extreme operating conditions while maintaining uncompromising reliability. This poster introduces Whitney, Elevate Semiconductor's innovative two-channel high voltage parametric measurement unit (PMU) System-on-a-Chip, designed specifically to address the rigorous testing requirements of high reliability automotive integrated circuits operating at voltages approaching up to 100V.
Modern electric vehicles incorporate power management systems operating at increasingly higher voltages, with 48V systems becoming standard and full EV powertrains utilizing voltages of 400-800V. This evolution necessitates test equipment capable of characterizing device performance across expanded voltage ranges while maintaining precise measurement accuracy. Whitney delivers this capability through its unique stackable architecture, achieving test voltages suitable for next-generation automotive applications while preserving 0.05% measurement accuracy.
Elevate Semiconductor's solution implements a floating DUT configuration where two Whitney ICs can be stacked, with each channel operating in Master Mode to regulate either positive or negative voltages relative to adjacent channels. This configuration enables comprehensive four-quadrant testing critical for automotive qualification procedures. The comprehensive integration of six 16-bit DACs per channel enables Whitney to simultaneously force voltage on one channel, force current while doing measure voltage or measure current, and perform window compare measurementsโall essential functions for characterizing automotive-grade semiconductors. With SPI interface speeds up to 50MHz, the Whitney significantly reduces test time without compromising measurement integrity, addressing a critical challenge in high-volume automotive semiconductor production.
This poster will demonstrate how Elevate Semiconductor's Whitney platform enables automotive IC manufacturers to perform rigorous qualification testing of high voltage components while maintaining the throughput necessary for competitive manufacturing environments. We will present measurement data demonstrating how stacked Whitney configurations maintain measurement fidelity across extended voltage ranges, with particular emphasis for Automotive Semiconductor IC grade testing.
The culmination of these capabilities positions Whitney as an essential tool for qualifying the next generation of high reliability automotive semiconductors, ensuring they meet the exacting standards necessary for safe operation throughout their service lifetime in demanding automotive environments. As vehicle architecture continues evolving toward higher voltage platforms, Elevate Semiconductor's solution provides manufacturers with the testing infrastructure necessary to validate component reliability while accelerating time-to-market for critical automotive systems.
์ด๋ก (Korean)
์๋์ฐจ ์ฐ์ ์ ์ ๊ธฐํ ๋ฐ ์ฒจ๋จ ์ด์ ์ ๋ณด์กฐ ์์คํ (ADAS)์ผ๋ก์ ๊ธ์ํ ์งํ๋ ๊ทนํ์ ์๋ ์กฐ๊ฑด์ ๊ฒฌ๋๋ฉด์๋ ํํ ์๋ ์ ๋ขฐ์ฑ์ ์ ์งํ ์ ์๋ ๋ฐ๋์ฒด ๋ถํ์ ๋ํ ์์๋ฅผ ๊ธ๊ฒฉํ ์ฆ๊ฐ์์ผฐ์ต๋๋ค. ์ด ํฌ์คํฐ๋ ์ต๋ 100V์ ๋ฌํ๋ ์ ์์์ ์๋ํ๋ ๊ณ ์ ๋ขฐ์ฑ ์๋์ฐจ์ฉ ์ง์ ํ๋ก์ ๊น๋ค๋ก์ด ํ ์คํธ ์๊ตฌ ์ฌํญ์ ํด๊ฒฐํ๊ธฐ ์ํด ํน๋ณํ ์ค๊ณ๋, Elevate Semiconductor์ ํ์ ์ ์ธ 2์ฑ๋ ๊ณ ์ ์ ํ๋ผ๋ฉํธ๋ฆญ ์ธก์ ์ฅ์น(PMU) ์์คํ ์จ ์นฉ์ธ Whitney๋ฅผ ์๊ฐํฉ๋๋ค.
ํ๋ ์ ๊ธฐ์ฐจ๋ ์ ์ ๋ ๋์ ์ ์์์ ์๋ํ๋ ์ ๋ ฅ ๊ด๋ฆฌ ์์คํ ์ ํ์ฌํ๊ณ ์์ผ๋ฉฐ, 48V ์์คํ ์ด ํ์ค์ด ๋๊ณ ์์ ์ ๊ธฐ์ฐจ ํ์ํธ๋ ์ธ์ 400~800V์ ์ ์์ ํ์ฉํฉ๋๋ค. ์ด๋ฌํ ์งํ๋ ํ์ฅ๋ ์ ์ ๋ฒ์์์ ์ฅ์น ์ฑ๋ฅ์ ํน์ฑํ ํ๋ฉด์๋ ์ ๋ฐํ ์ธก์ ์ ํ๋๋ฅผ ์ ์งํ ์ ์๋ ํ ์คํธ ์ฅ๋น๋ฅผ ํ์๋ก ํฉ๋๋ค. ํํธ๋๋ ๋ ํนํ ์คํํ ์ํคํ ์ฒ๋ฅผ ํตํด ์ด ๊ธฐ๋ฅ์ ์ ๊ณตํ๋ฉฐ, ์ฐจ์ธ๋ ์๋์ฐจ ์ ํ๋ฆฌ์ผ์ด์ ์ ์ ํฉํ ํ ์คํธ ์ ์์ ๋ฌ์ฑํ๋ฉด์๋ 0.05%์ ์ธก์ ์ ํ๋๋ฅผ ์ ์งํฉ๋๋ค.
Elevate Semiconductor์ ์๋ฃจ์ ์ ๋ ๊ฐ์ Whitney IC๋ฅผ ์คํ ํ ์ ์๋ ํ๋กํ DUT ๊ตฌ์ฑ์ ๊ตฌํํ๋ฉฐ, ๊ฐ ์ฑ๋์ ๋ง์คํฐ ๋ชจ๋์์ ์๋ํ์ฌ ์ธ์ ์ฑ๋์ ๋ํด ์๊ทน ๋๋ ์๊ทน ์ ์์ ์กฐ์ ํฉ๋๋ค. ์ด ๊ตฌ์ฑ์ ์๋์ฐจ ์ธ์ฆ ์ ์ฐจ์ ํ์์ ์ธ ํฌ๊ด์ ์ธ 4์ฌ๋ถ๋ฉด ํ ์คํธ๋ฅผ ๊ฐ๋ฅํ๊ฒ ํฉ๋๋ค. ์ฑ๋๋น 6๊ฐ์ 16๋นํธ DAC๋ฅผ ํฌ๊ด์ ์ผ๋ก ํตํฉํจ์ผ๋ก์จ ํํธ๋๋ ํ ์ฑ๋์ ์ ์์ ๊ฐ์ ์ ์ฉํ๋ ๋์์ ์ ๋ฅ๋ฅผ ๊ฐ์ ์ ์ฉํ๋ฉด์ ์ ์์ ์ธก์ ํ๊ฑฐ๋ ์ ๋ฅ๋ฅผ ์ธก์ ํ๋ ๊ธฐ๋ฅ, ๊ทธ๋ฆฌ๊ณ ์๋์ฐ ๋น๊ต ์ธก์ ์ ์ํํ ์ ์์ต๋๋ค. ์ด๋ ๋ชจ๋ ์๋์ฐจ ๋ฑ๊ธ ๋ฐ๋์ฒด ํน์ฑ ๋ถ์์ ํ์์ ์ธ ๊ธฐ๋ฅ๋ค์ ๋๋ค. ์ต๋ 50MHz์ SPI ์ธํฐํ์ด์ค ์๋๋ฅผ ์ง์ํ๋ ํํธ๋๋ ์ธก์ ๋ฌด๊ฒฐ์ฑ์ ์ ํดํ์ง ์์ผ๋ฉด์ ํ ์คํธ ์๊ฐ์ ํฌ๊ฒ ๋จ์ถํ์ฌ ๋๋ ์์ฐ ํ๊ฒฝ์์ ์๋์ฐจ ๋ฐ๋์ฒด ์ ์กฐ์ ํต์ฌ ๊ณผ์ ๋ฅผ ํด๊ฒฐํฉ๋๋ค.
๋ณธ ํฌ์คํฐ๋ ์๋ฆฌ๋ฒ ์ดํธ ์ธ๋ฏธ์ปจ๋ํฐ์ ํํธ๋ ํ๋ซํผ์ด ์๋์ฐจ IC ์ ์กฐ์ฌ๊ฐ ๊ฒฝ์์ ์ธ ์ ์กฐ ํ๊ฒฝ์ ํ์ํ ์ฒ๋ฆฌ๋์ ์ ์งํ๋ฉด์ ๊ณ ์ ์ ๋ถํ์ ๋ํ ์๊ฒฉํ ์ธ์ฆ ํ ์คํธ๋ฅผ ์ํํ ์ ์๋๋ก ์ง์ํ๋ ๋ฐฉ์์ ๋ณด์ฌ์ค๋๋ค. ํนํ ์๋์ฐจ ๋ฐ๋์ฒด IC ๋ฑ๊ธ ํ ์คํธ์ ์ค์ ์ ๋๊ณ , ์คํํ ํํธ๋ ๊ตฌ์ฑ์ด ํ์ฅ๋ ์ ์ ๋ฒ์ ์ ๋ฐ์ ๊ฑธ์ณ ์ธก์ ์ ํ๋๋ฅผ ์ ์งํ๋ ๋ฐฉ์์ ์ ์ฆํ๋ ์ธก์ ๋ฐ์ดํฐ๋ฅผ ์ ์ํ ์์ ์ ๋๋ค.
์ด๋ฌํ ์ญ๋์ ์ง์ฝ์ฒด๋ก์ ํํธ๋๋ ์ฐจ์ธ๋ ๊ณ ์ ๋ขฐ์ฑ ์๋์ฐจ ๋ฐ๋์ฒด์ ์ธ์ฆ์ ์ํ ํ์ ๋๊ตฌ๋ก ์๋ฆฌ๋งค๊นํ๋ฉฐ, ๊น๋ค๋ก์ด ์๋์ฐจ ํ๊ฒฝ์์ ์๋น์ค ์๋ช ์ ๋ฐ์ ๊ฑธ์ณ ์์ ํ ์๋์ ์ํด ํ์ํ ์๊ฒฉํ ๊ธฐ์ค์ ์ถฉ์กฑํ๋๋ก ๋ณด์ฅํฉ๋๋ค. ์ฐจ๋ ์ํคํ ์ฒ๊ฐ ๊ณ ์ ์ ํ๋ซํผ์ผ๋ก ๊ณ์ ์งํํจ์ ๋ฐ๋ผ, ์๋ฆฌ๋ฒ ์ดํธ ์ธ๋ฏธ์ปจ๋ํฐ์ ์๋ฃจ์ ์ ์ ์กฐ์ ์ฒด์๊ฒ ๋ถํ ์ ๋ขฐ์ฑ์ ๊ฒ์ฆํ๋ ๋์์ ํต์ฌ ์๋์ฐจ ์์คํ ์ ์์ฅ ์ถ์ ๊ธฐ๊ฐ์ ๋จ์ถํ๋ ๋ฐ ํ์ํ ํ ์คํธ ์ธํ๋ผ๋ฅผ ์ ๊ณตํฉ๋๋ค.
“0.2 mm ํผ์น ๋ฐ ๊ทธ ์ด์์ ํ๊ฒฝ์ ์ํ ํ์ฅ ๊ฐ๋ฅํ MEMS ์คํ๋ง ํ ํ๋ซํผ”
Abstract (English)
With the continued scaling of semiconductor packaging, ensuring reliable electrical contact in fine-pitch test environments has become a critical challenge. Conventional solutions such as pogo pins and wire-based probes reveal fundamental limitations when approaching the 0.2 mm pitch node, including constraints in spring miniaturization, reduced contact stability, and restrictions in manufacturing and assembly processes. In this work, we present a novel MEMS-based spring pin technology developed to overcome these barriers for 0.2 pitch package testing. By employing a differentiated high-aspect-ratio MEMS fabrication process, ultra-fine spring structures under 1 mm in length have been realized. The developed pins demonstrate current handling capability above 1 A, stable contact resistance below 0.2 ฮฉ, low actuation force, and robust performance suitable for high-frequency and high-reliability evaluations. This poster will introduce the structural features and initial electrical/mechanical test results, and discuss the potential contributions of this technology to next-generation fine-pitch test applications.
์ด๋ก (Korean)
๋ฐ๋์ฒด ํจํค์ง์ ๋ฏธ์ธํ๊ฐ ์ง์๋จ์ ๋ฐ๋ผ, ํ์ธ ํผ์น ํ ์คํธ ํ๊ฒฝ์์ ์ ๋ขฐ์ฑ ๋์ ์ ๊ธฐ์ ์ ์์ ๊ตฌํํ๋ ๊ฒ์ ์ค์ํ ๊ณผ์ ๋ก ๋ถ์ํ๊ณ ์๋ค. ๊ธฐ์กด์ ํฌ๊ณ ํ(pogo pin) ๋ฐ ์์ด์ด ๊ธฐ๋ฐ ํ๋ก๋ธ๋ 0.2 mm ํผ์น ๋ ธ๋์ ์ ๊ทผํ ์๋ก ์คํ๋ง ๊ตฌ์กฐ์ ์ต์ํ ํ๊ณ, ์ ์ด ์์ ์ฑ ์ ํ, ์ ์กฐ ๋ฐ ์กฐ๋ฆฝ ๊ณต์ ์์ ์ ์ฝ ๋ฑ ๊ทผ๋ณธ์ ์ธ ํ๊ณ๋ฅผ ๋๋ฌ๋ธ๋ค. ๋ณธ ๋ฐํ์์๋ ์ด๋ฌํ ์ฅ๋ฒฝ์ ๊ทน๋ณตํ๊ธฐ ์ํด 0.2ํผ์น ํจํค์ง ํ ์คํธ์ฉ์ผ๋ก ๊ฐ๋ฐ๋ ์๋ก์ด MEMS ๊ธฐ๋ฐ ์คํ๋ง ํ ๊ธฐ์ ์ ์ ์ํ๋ค. ์ฐจ๋ณํ๋ High aspect ratui MEMS ๊ณต์ ์ ์ ์ฉํ์ฌ, ๊ธธ์ด 1 mm ์ดํ์ ์ด๋ฏธ์ธ ์คํ๋ง ๊ตฌ์กฐ๋ฅผ ๊ตฌํํ์๋ค. ๊ฐ๋ฐ๋ ํ์ 1 A ์ด์์ ์ ๋ฅ ๊ตฌ๋ ๋ฅ๋ ฅ, 0.2 ฮฉ ์ดํ์ ์์ ์ ์ธ ์ ์ด ์ ํญ, ๋ฎ์ ์๋ ํ์ค, ๊ทธ๋ฆฌ๊ณ ๊ณ ์ฃผํยท๊ณ ์ ๋ขฐ์ฑ ํ๊ฐ์ ์ ํฉํ ์ฐ์ํ ์ฑ๋ฅ์ ๋ณด์ฌ์ฃผ์๋ค. ๋ณธ ํฌ์คํฐ์์๋ ๊ตฌ์กฐ์ ํน์ง๊ณผ ์ด๊ธฐ ์ ๊ธฐยท๊ธฐ๊ณ์ ํ๊ฐ ๊ฒฐ๊ณผ๋ฅผ ์๊ฐํ๊ณ , ์ฐจ์ธ๋ ํ์ธ ํผ์น ํ ์คํธ ์์ฉ์์ ๋ณธ ๊ธฐ์ ์ด ๊ฐ์ง ์ ์ฌ์ ๊ธฐ์ฌ๋ฅผ ๋ ผ์ํ๊ณ ์ ํ๋ค.
16:00
Abstract - Biography (English)
Abstract
This presentation introduces a new elastomer socket with ground-signal-ground (GSG) configuration. An elastomer socket consists of metal powders. Hence, the elastomer sockets provide higher bandwidth compared to pogo sockets. The conventional structure in the elastomer socket is a matrix array. In that case, the distance between columns affects the signal quality at the receiver side. Therefore, the above limitations cause a new type of elastomer socket in terms of signal integrity. The GS configuration is limited to provide a wider bandwidth due to the induced electric and magnetic fields. The introduced coaxial elastomer socket has a signal column inside and a ground cylinder outside to establish the coaxial structure. As a verification, the introduced coaxial elastomer socket shows better electrical performance in simulation and measurement.
Biography
Junyong Park
Assistant Professor, Kyung Hee University
Junyong Park received the B.S. degree from Sungkyunkwan University in 2014, and the Ph.D. degree from the Korea Advanced Institute of Science and Technology (KAIST) in 2019. He was with the DRAM design team at SK Hynix from 2019 to 2023, and joined the Missouri University of Science and Technology from 2023 to 2024. He was with Dankook University by 2025, and he is currently with Kyung Hee University as an assistant professor. His current research interests include statistical signal/power integrity for high-speed systems, next-generation packaging, and input/output buffer information specification with an algorithmic modeling interface.
์ด๋ก - ์ ๊ธฐ (Korean)
์์ฝ
๋ณธ ์ฐ๊ตฌ๋ ๊ณ ๋์ญํญยท๊ณ ์ง์ ํจํค์ง ํ ์คํธ๋ฅผ ์ํ ๋์ถ ์๋ผ์คํ ๋จธ ์์ผ์ ์ ์ํ๋ ์ฐ๊ตฌ์ ๋๋ค. ๋ฐ์ดํฐ ์ ์ก ์๋๊ฐ ๋นจ๋ผ์ง์ ๋ฐ๋ผ์ ๊ธฐ์กด์ ์ฌ์ฉํ๋ ํฌ๊ณ ํ์ ์์ผ์ ๊ธฐ์ ์ธ๋ํด์ค ๊ฐ์ด ์ปค์ ์ ํธ ์ ๋ฌ์ ํ๊ณ๋ฅผ ๋ณด์์ต๋๋ค. ์ด๋ฌํ ์ ํธ ์ ์ก ํ๊ณ๋ฅผ ๊ทน๋ณตํ๊ณ ์ ๊ธ์ ํ์ฐ๋๋ก ์ด๋ฃจ์ด์ง ์๋ผ์คํ ๋จธ ํ์ ์ ํจํค์ง ์์ผ์ด ์ ์๋์์ต๋๋ค. ์ ์ก์ ์ด๋ก ์ ๋ฐ๋ฅด๋ฉด ๋์ถ ๊ตฌ์กฐ๋ฅผ ์ด์ฉํ์ฌ ์ ํธ ์ ๋ฌ ํน์ฑ์ ๊ฐ์ ํ ์ ์๋ค๋ ๊ฒ์ด ๋๋ฆฌ ์๋ ค์ ธ ์๊ธฐ ๋๋ฌธ์ ๋ณธ ์ฐ๊ตฌ์์๋ ์๋ผ์คํ ๋จธ ํ์ ํ ์คํธ ์์ผ์ ๋์ถ ๊ตฌ์กฐ๋ฅผ ์ ์ฉํ์ฌ ๊ธฐ์กด ์๋ผ์คํ ๋จธ ์์ผ์ ์ ํธ ์ ๋ฌ ํน์ฑ์ ๊ฐ์ ์ํค๋ ๊ฒ์ ์ ์ํ๊ณ ์ฆ๋ช ํฉ๋๋ค.
๊ฐ์ธ์๊ฐ
๋ฐ์ด์ฉ
์กฐ๊ต์, ๊ฒฝํฌ๋ํ๊ต
๋ณธ ์ฐ๊ตฌ์๋ 2014๋ ์ฑ๊ท ๊ด๋ํ๊ต์์ ํ์ฌ ํ์๋ฅผ, 2019๋ ํ๊ตญ๊ณผํ๊ธฐ์ ์(KAIST)์์ ๋ฐ์ฌ ํ์๋ฅผ ๋ฐ์๋ค. 2019๋ ๋ถํฐ 2023๋ ๊น์ง SKํ์ด๋์ค DRAM ์ค๊ณํ์์ ๊ทผ๋ฌดํ์ผ๋ฉฐ, 2023๋ ๋ถํฐ 2024๋ ๊น์ง ๋ฏธ๊ตญ ๋ฏธ์ฃผ๋ฆฌ ๊ณผํ๊ธฐ์ ๋ํ๊ต(Missouri University of Science and Technology)์ ์ฌ์งํ๋ค. 2024๋ ๋ถํฐ 2025๋ ๊น์ง ๋จ๊ตญ๋ํ๊ต์์ ๊ทผ๋ฌดํ์ผ๋ฉฐ, 2025๋ 9์๋ถ๋ก ๊ฒฝํฌ๋ํ๊ต์์ ์กฐ๊ต์๋ก ์ฌ์ง ์ค์ด๋ค. ๊ทธ์ ์ฃผ์ ์ฐ๊ตฌ ๋ถ์ผ๋ ๊ณ ์ ์์คํ ์ ํต๊ณ์ ์ ํธยท์ ๋ ฅ ๋ฌด๊ฒฐ์ฑ, ์ฐจ์ธ๋ ํจํค์ง, ์๊ณ ๋ฆฌ์ฆ ๋ชจ๋ธ๋ง ์ธํฐํ์ด์ค๋ฅผ ์ด์ฉํ ์ ์ถ๋ ฅ ๋ฒํผ ์ ๋ณด ์ฌ์(IBIS) ๋ฑ์ ํฌํจํ๋ค.

“์ฐจ์ธ๋ ๋ฐ๋์ฒด ํ ์คํธ๋ฅผ ์ํ ๊ณ ์ฑ๋ฅ ์ก์ฒด ๋๊ฐ ์๋ฃจ์ ”
Abstract - Biography (English)
High performance semiconductors generate significant thermal loads during testing, making it impossible to maintain proper thermal control with traditional air cooling methods.
Furthermore, immersion cooling approaches are impractical for test equipment; they are difficult to integrate and require complex maintenance, resulting in reduced test efficiency.
VC-COOL addresses these challenges with a hybrid solution that combines a vapor chamber with an ultra-compact liquid cooling head.
This design enables stable and uniform thermal management directly in the test environment, thereby enhancing both the reliability and efficiency of high-power semiconductor validation.
Ho-Boum Rhim
General Manager, Inspiraz Korea
Ho-Boum Rhim is the General Manager of Inspiraz Korea, specializing in providing Thermal Interface Materials (TIM) and other advanced thermal management solutions, as well as semiconductor solutions.
์ด๋ก (Korean)
๊ณ ์ฑ๋ฅ ๋ฐ๋์ฒด๋ ํ ์คํธ ๊ณผ์ ์์ ๊ธ๊ฒฉํ ๋ฐ์ด์ ์ผ์ผ์ผ ๊ธฐ์กด ๊ณต๋ญ์ ๋ฐฉ์์ผ๋ก๋ ํจ๊ณผ์ ์ธ ์ ์ด๊ฐ ๋ถ๊ฐ๋ฅํฉ๋๋ค.
๊ทธ๋ฆฌ๊ณ , ์ก์นจ๋๊ฐ๊ณผ ๊ฐ์ ๋ฐฉ๋ฒ์ ํ ์คํธ ์ฅ๋น์ ์ง์ ์ ์ฉํ๊ธฐ ์ด๋ ต๊ณ ์ ์ง๋ณด์ ๋ํ ๋ณต์กํ์ฌ ํ ์คํธ ํจ์จ์ฑ์ ํฌ๊ฒ ์ ํ์ํต๋๋ค.
VC-COOL์ ์ด๋ฌํ ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํด ๋ฒ ์ดํผ ์ฑ๋ฒ์ ์ด์ํ ์ก์ฒด ๋๊ฐ ํค๋๋ฅผ ๊ฒฐํฉํ ํ์ด๋ธ๋ฆฌ๋ ์๋ฃจ์ ์ผ๋ก ๊ฐ๋ฐ๋์์ต๋๋ค.
์ด๋ฅผ ํตํด ํ ์คํธ ํ๊ฒฝ์์๋ ์์ ์ ์ด๊ณ ๊ท ์ผํ ์ด ์ ์ด๊ฐ ๊ฐ๋ฅํด์ ธ ๊ณ ์ฑ๋ฅ ๋ฐ๋์ฒด ๊ฒ์ฆ์ ์ ๋ขฐ์ฑ๊ณผ ํจ์จ์ฑ์ ๋์์ ํ๋ณดํ ์ ์์ต๋๋ค.

“RMA ์กฐ์ฌ์์ ๊ทผ๋ณธ ์์ธ์ ์ ์ํ ๊ท๋ช ํ๊ธฐ ์ํ ํจ๊ณผ์ ์ธ ํ ์คํธ ๋ฒ์ ์ค์ ”
Abstract - Biography (English)
Abstract
Return Material Authorization (RMA) investigations are essential for semiconductor quality assurance, enabling functional failures to be traced back to their root causes. In this study, we examine an RMA case in which a production device exhibited a complete loss of critical timing measurements after an unspecified period in service. Automated Test Equipment (ATE) and bench tests revealed that one channel failed to meet multiple timing specifications, while the other channel remained within acceptable limits which highlighted a clear functional divergence.
To isolate the anomaly, register-level readback tests were added to the test program. These tests consistently showed deviations in specific comparator configuration registers on the failing channel, confirming a localized functional fault. Guided by these electrical test results, a structured failure analysis protocol was initiated. The device was decapsulated and subjected to high-magnification optical inspection, which identified a process-related defect: metal-to-metal shorting across parallel interconnect lines within the comparator block.
Focused Ion Beam (FIB) cross-sectioning and Scanning Electron Microscopy (SEM) further characterized the defect, revealing a foreign particle lodged beneath the passivation layer at an interconnect level. Energy Dispersive X-ray Spectroscopy (EDS) analysis determined the particle composition to be tungsten, thereby confirming its role in creating an unintended conductive path that led to register read/write failures.
This case study underscores the importance of defining precise test limits and incorporating comprehensive functional coverage. Tests that span both channel-level performance metrics and register-level checks can help efficiently formulate and validate root-cause hypotheses. By establishing dynamic specification boundaries and augmenting ATE programs with targeted register tests, latent fabrication defects can be detected early, streamlining physical failure analysis (PFA) efforts.
Implementing this integrated approach not only reduces RMA turnaround time and associated costs but also feeds back into production test development, enhancing screening effectiveness to prevent future escapes. We conclude with recommendations for optimizing test programs such as adaptive limit setting, expanded register functional coverage, and closer collaboration between test engineering and failure analysis teams to bolster overall product reliability and accelerate root-cause resolution in high-volume semiconductor manufacturing and production.
Hailin is an Applications Engineer at ElevATE Semiconductor with a strong engineering background and a passion for innovation. He holds a degree from the University of Toronto, where he also engaged in academic research collaborations, and has professional experience spanning software development and mixed-signal engineering.
Dedicated to tackling complex technical challenges and fostering opportunities for students, Hailin is committed to advancing the field of semiconductor test while inspiring the next generation of professionals. He is currently pursuing a masterโs degree at UC Berkeley, focusing on applying statistical models and data science principles to enhance test engineering.
์ด๋ก - ์ ๊ธฐ (Korean)
RMA(Return Material Authorization) ์กฐ์ฌ๋ ๋ฐ๋์ฒด ํ์ง ๋ณด์ฆ์ ์์ด ํต์ฌ์ ์ด๋ฉฐ, ์ ์ฌ์ ์ธ ๊ธฐ๋ฅ์ ๋ถ๋์ ๊ทผ๋ณธ ์์ธ๊น์ง ์ถ์ ํ ์ ์๋๋ก ํฉ๋๋ค. ๋ณธ ์ฐ๊ตฌ์์๋ ์ด๋์ ๋ ์ฌ์ฉ๋ ๋๋ฐ์ด์ค ๋ด์ Precision measurement block ์ ํ๋(Accuracy)๊ฐ ์ ํ๋๋ ํ์์ ๋ณด์ธ RMA ์ฌ๋ก๋ฅผ ๊ฒํ ํ์์ต๋๋ค. ์๋ํ ํ ์คํธ ์ฅ๋น(ATE) ๋ฐ ๋ฒค์น ํ ์คํธ ๋ถ์์ ํตํด ๋ช ํํ ์ฑ๋ ๋จ์ ํธ์ฐจ๊ฐ ๊ด์ฐฐ๋์์ผ๋ฉฐ, ์ผ๋ถ ์ฑ๋์ ์๊ตฌ๋๋ ์ ํ๋ ์คํ์ ์ ์งํ์ง ๋ชปํ ๋ฐ๋ฉด ๋ค๋ฅธ ์ฑ๋๋ค์ ์คํ์ ๋ง์กฑํ๋ ๊ฒ์ด ํ์ธ๋์์ต๋๋ค.
Failure mechanism์ ๊ท๋ช ํ๊ณ ํ์ธํ๊ธฐ ์ํด, Electrical stress ํ ์คํธ์ ์ด๊ธฐ ์๋ช ๋ถ๋๋ฅ (Early Life Failure Rate, ELFR) ์คํ์ ๋ณํ ์ํํ์์ต๋๋ค. ์ด ์คํ์ ์๋ก์ด ATE ๊ฒ์ฌ ๋ฐฉ๋ฒ์ ์ ์ฆํ์ผ๋ฉฐ, ์ดํ์ RMA ์ฌ๋ก์์๋ ๊ทธ ํจ๊ณผ๊ฐ ๊ฒ์ฆ๋์ด ์ ์ฌ์ ๋๋ฐ์ด์ค ์ทจ์ฝ์ฑ์ ์๋ณํ๋ ๋ฐ ์ ์ฉํจ์ด ํ์ธ๋์์ต๋๋ค. ์ด ํ, ๋ถ๋ถ์ ์ธ ์ ๊ธฐ์ ํน์ด์ฌํญ์ Failure analysis ์ ์ฐจ๋ฅผ ์ด๋์๊ณ , ๋์บก(decapsulation) ํ ๊ณ ๋ฐฐ์จ ๊ดํ ๊ฒ์ฌ์ ์ฃผ์ฌ ์ ์ ํ๋ฏธ๊ฒฝ(SEM) ๋ถ์์ ํตํด ํด๋น ํ๋ก์์ ๊ณต์ ๊ด๋ จ ๊ฒฐํจ์ด ํ์ธ๋์ด ๊ด์ฐฐ๋ ์ ๊ธฐ์ ๋ถ๋๊ณผ ๋ฌผ๋ฆฌ์ ์๊ด์ฑ์ด ์ ์ฆ๋์์ต๋๋ค.
์ด ์ฌ๋ก์ ๋ํ ์ฐ๊ตฌ๋ ์ ์ฌ์ ์ ์กฐ ๊ฒฐํจ์ ๋ฐ๊ฒฌํ๊ธฐ ์ํด ์ ๋ฐํ ์ํ ๋ฒ์ ์ ์์ ์คํธ๋ ์ค ๊ธฐ๋ฐ์ ํ ์คํธ ๋ฐฉ๋ฒ์ ํตํ ATE ํ๋ก๊ทธ๋จ ๋ณด์์ ์ค์์ฑ์ ๊ฐ์กฐํ๊ณ ์์ต๋๋ค. Dynamic specification์ ๊ฒฝ๊ณ์ ELFR(์ด๊ธฐ ์๋ช ๋ถ๋๋ฅ )๋ก ๊ฒ์ฆ๋ ์ ์ฉ ์คํฌ๋ฆฌ๋์ ๊ฒฐํฉํจ์ผ๋ก์จ, ํ ์คํธ ์์ง๋์ด๋ง ํ์ Root cause ๊ท๋ช ์๋๋ฅผ ๊ฐ์ ํ๊ณ , RMA ์ฒ๋ฆฌ ์๊ฐ์ ๋จ์ถํ ์ ์์ต๋๋ค. ์ด๋ฌํ ํตํฉ๋ ์ ๊ทผ์ ๊ณ ๊ฐ์ด ๋ฐ์ ์ํฅ๊ณผ ๊ด๋ จ๋ ๋น์ฉ์ ์ต์ํํ ๋ฟ ์๋๋ผ ์์ฐ ์คํฌ๋ฆฌ๋์ ํจ์จ์ ํฅ์์ํต๋๋ค. ๋ง์ง๋ง์ผ๋ก, Test program์ ์ ์ ๊ฐ๋ฅํ ์ค์ , ์คํธ๋ ์ค ๊ธฐ๋ฐ ์ปค๋ฒ๋ฆฌ์ง ํ๋, ๊ทธ๋ฆฌ๊ณ ์ ํ ์์ง๋์ด๋ง๊ณผ ๊ณ ์ฅ ๋ถ์ ํ ๊ฐ์ ๊ธด๋ฐํ ํ์ ์ ํตํด ๋๋ ๋ฐ๋์ฒด ์ ์กฐ์์ ์ฅ๊ธฐ์ ์ธ ์ ๋ขฐ์ฑ์ ๊ฐํํ๋ ํ ์คํธ ํ๋ก๊ทธ๋จ ์ต์ ํ ๋ฐฉ์์ ์ ์ํฉ๋๋ค.
Hailin์ ElevATE Semiconductor์ ์ ํ๋ฆฌ์ผ์ด์ ์์ง๋์ด๋ก, ์ํํธ์จ์ด ๊ฐ๋ฐ๊ณผ ํผํฉ ์ ํธ ์์ง๋์ด๋ง ๋ถ์ผ์์ ๊ฒฝํ์ ์์์์ต๋๋ค.
๊ทธ๋ University of Toronto์์ ํ์๋ฅผ ์ทจ๋ํ์ผ๋ฉฐ, ํ์ฌ UC Berkeley์์ ํต๊ณ ๋ชจ๋ธ๊ณผ ๋ฐ์ดํฐ ๊ณผํ์ ํ์ฉํ ํ ์คํธ ์์ง๋์ด๋ง ์ฐ๊ตฌ๋ก ์์ฌ ๊ณผ์ ์ ๋ฐ๊ณ ์์ต๋๋ค.

17:30
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