C
Chen-Yong Cher
Researcher at IBM
Publications - 69
Citations - 2301
Chen-Yong Cher is an academic researcher from IBM. The author has contributed to research in topics: Soft error & Multi-core processor. The author has an hindex of 24, co-authored 69 publications receiving 2167 citations. Previous affiliations of Chen-Yong Cher include Purdue University.
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Patent
Multi-petascale highly efficient parallel supercomputer
Sameh W. Asaad,Ralph Bellofatto,Michael A. Blocksome,Matthias A. Blumrich,Peter Boyle,Jose R. Brunheroto,Dong Chen,Chen-Yong Cher,George Liang-Tai Chiu,N. H. Christ,Paul W. Coteus,Kristan D. Davis,Gabor Dozsa,Alexandre E. Eichenberger,Noel A. Eisley,Matthew R. Ellavsky,Kahn C. Evans,Bruce M. Fleischer,Thomas W. Fox,Alan Gara,Mark E. Giampapa,Thomas M. Gooding,Michael K. Gschwind,John A. Gunnels,Shawn A. Hall,Rudolf A. Haring,Philip Heidelberger,Todd A. Inglett,Brant L. Knudson,Gerard V. Kopcsay,Sameer Kumar,Amith R. Mamidala,James Anthony Marcella,Mark G. Megerian,Douglas R. Miller,Samuel J. Miller,Adam J. Muff,Michael B. Mundy,John Kevin Patrick O'Brien,Kathryn M. O'Brien,Martin Ohmacht,Jeffrey J. Parker,Ruth J. Poole,Joseph D. Ratterman,Valentina Salapura,David L. Satterfield,Robert M. Senger,Brian E. Smith,Burkhard Steinmacher-Burow,William Maupin Stockdell,Craig B. Stunkel,Krishnan Sugavanam,Yutaka Sugawara,Todd E. Takken,Barry M. Trager,James L. Van Oosten,Charles D. Wait,Robert E. Walkup,Alfred T. Watson,Robert W. Wisniewski,Peng Wu +60 more
TL;DR: A multi-petascale Highly Efficient Parallel Supercomputer of 100 petaOPS-scale computing, at decreased cost, power and footprint, allows for a maximum packaging density of processing nodes from an interconnect point of view.
Proceedings ArticleDOI
Quantitative evaluation of soft error injection techniques for robust system design
TL;DR: This paper uses simulation and emulation results to understand the accuracy tradeoffs associated with a variety of high-level error injection techniques and explains the causes of high degrees of inaccuracies associated witherror injection techniques at higher levels of abstraction.
Journal ArticleDOI
Active Memory Cube: A processing-in-memory architecture for exascale systems
Ravi Nair,Samuel Antao,Carlo Bertolli,Pradip Bose,Jose R. Brunheroto,Tong Chen,Chen-Yong Cher,Carlos Costa,J. Doi,Constantinos Evangelinos,Bruce M. Fleischer,Thomas W. Fox,Diego Sanchez Gallo,Leopold Grinberg,John A. Gunnels,Arpith C. Jacob,Philip Jacob,Hans M. Jacobson,Tejas Karkhanis,Changhoan Kim,Jaime H. Moreno,John Kevin Patrick O'Brien,Martin Ohmacht,Yoonho Park,Daniel A. Prener,Bryan S. Rosenburg,Kyung Dong Ryu,Olivier Sallenave,Mauricio J. Serrano,Patrick Siegl,Krishnan Sugavanam,Zehra Sura +31 more
TL;DR: This paper outlines a new architecture, the Active Memory Cube, which reduces the energy of computation significantly by performing computation in the memory module, rather than moving data through large memory hierarchies to the processor core.
Proceedings ArticleDOI
Thermal-aware task scheduling at the system software level
TL;DR: This paper investigates the general trade-offs between temporal and spatial hot spot mitigation schemes and thermal time constants, workload variations and microprocessor power distributions.
Patent
Method and system for controlling power in a chip through a power-performance monitor and control unit
TL;DR: In this article, a monitoring and control system integrated into a microprocessor system includes a hierarchical architecture having a plurality of layers, each layer in the hierarchy is responsive to commands from a higher level, and the commands provide instructions on operations and power distribution, such that the higher levels provide modes of operation and budgets to lower levels and the lower levels provide feedback to the higher level to control and manage power usage in the microprocessor systems both globally and locally.