Congratulations to Si Li, William Song and Minhaj Hassan for their papers accepted by IEEE International Reliability Physics Symposium!
Paper “Software-based Dynamic Reliability Management for GPU Applications”, co-authored by Si Li, Vilas Sridharan, Sudhanva Gurumurthi and Sudhakar Yalamanchili, has been accepted by IEEE International Reliability Physics Symposium. Congratulations to Si! Paper “Reliability-Performance Tradeoff between 2.5D and 3D-Stacked DRAM Processors”, co-authored by William J. Song, Syed Minhaj Hassan, Saibal Mukhopadhyay and Sudhakar Yalamanchili, has been accepted by IEEE International Reliability Physics Symposium as a short paper/poster. Congratulations to William and...
Read MoreProf. Yalamanchili gave a keynote “Implications of Memory-Centric Computing Architectures for Future NoCs” at the 9th International Symposium on Networks-on-Chip (NOCS).
The keynote “Implications of Memory-Centric Computing Architectures for Future NoCs” was presented by Prof. Yalamanchili at the 9th International Symposium on Networks-on-Chip (NOCS) in Vancouver, Canada on September 29.
Read MorePaper “General-Purpose Join Algorithms for Large Graph Triangle Listing on Heterogeneous Systems” accepted by GPGPU-9.
The paper “General-Purpose Join Algorithms for Large Graph Triangle Listing on Heterogeneous Systems”, co-authored by Daniel Zinn, Haicheng Wu, Jin Wang, Molham Aref and Sudhakar Yalamanchili, was accepted by GPGPU-9. This was a collaborative work with LogicBlox. Congratulations to the authors!
Read MoreCongratulations to William Song for his paper “Amdahl’s Law for Lifetime Reliability Scaling in Heterogeneous Multicore Processors” accepted by HPCA 2016!
William’s paper “Amdahl’s Law for Lifetime Reliability Scaling in Heterogeneous Multicore Processors”, co-authored with Saibal Mukhopadhyay and Sudhakar Yalamanchili, was accepted by HPCA 2016. Congratulations!
Read MoreCongratulations to Haicheng Wu on successfully defending his thesis “Acceleration and Execution of Relational Queries using General Purpose Graphics Processing Unit (GPGPU)”!
Haicheng Wu successfully defended his thesis on Nov 5, 2015. Congratulations Dr. Wu! The abstract of Haicheng’s thesis goes as follows: This thesis first maps the relational computation onto Graphics Processing Units (GPU)s by designing a series of tools and then explores the different opportunities of reducing the limitation brought by the memory hierarchy across the CPU and GPU system. First, a complete end-to-end compiler and runtime infrastructure, Red Fox, is proposed. The evaluation on the full set of industry standard TPC-H queries on a single node GPU shows on average Red Fox is...
Read MoreCongratulations to William Song on successfully defending his thesis “Managing Lifetime Reliability, Performance, and Power Tradeoffs in Multicore Microarchitectures”!
William Song successfully defended his thesis “Managing Lifetime Reliability, Performance, and Power Tradeoffs in Multicore Microarchitectures” on Oct 29, 2015. Congratulations Dr. Song! The objective of this research is to characterize and manage lifetime reliabil- ity, microarchitectural performance, and power tradeoffs in multicore processors. This dissertation is comprised of three research themes; 1) modeling and simulation method of interacting multicore processor physics, 2) characterization and management of perfor- mance and lifetime reliability tradeoff, and 3) extending...
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