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Congratulations to William Song for his paper “Amdahl’s Law for Lifetime Reliability Scaling in Heterogeneous Multicore Processors” accepted by HPCA 2016!

Posted by on Jan 10, 2016 in News | 0 comments

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!

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Congratulations to Haicheng Wu on successfully defending his thesis “Acceleration and Execution of Relational Queries using General Purpose Graphics Processing Unit (GPGPU)”!

Posted by on Nov 24, 2015 in News | 0 comments

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...

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Congratulations to William Song on successfully defending his thesis “Managing Lifetime Reliability, Performance, and Power Tradeoffs in Multicore Microarchitectures”!

Posted by on Nov 24, 2015 in News | 0 comments

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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Congratulations to Naila Farooqui on successfully defending her thesis “Runtime Specialization for Heterogeneous CPU-GPU Platforms”!

Posted by on Oct 23, 2015 in News | 0 comments

Naila Farooqui successfully defended her thesis on Oct 19, 2015. Congratulations Dr. Farooqui! The abstract of Naila’s thesis goes as follows: Heterogeneous parallel architectures like those comprised of CPUs and GPUs are a tantalizing compute fabric for performance-hungry developers. While these platforms enable order-of-magnitude performance increases for many data-parallel application domains, there remain several open challenges: (i) the distinct execution models inherent in the heterogeneous devices present on such platforms drive the need to dynamically match workload...

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Congratulations to Indrani Paul on successfully defending her thesis “Cooperative Power Management in Heterogeneous Processors”!

Posted by on Apr 8, 2015 in News | 0 comments

Indrani Paul successfully defended her thesis on Mar 23, 2015. Congratulations Dr. Paul! The high-level contributions of Indrani’s thesis “Coordinated Power Management in Heterogeneous Processors” are i) in-depth examination of characteristics and performance demands of emerging applications using hardware measurements and analysis from state-of-the-art heterogeneous processors and high-performance GPUs, ii) analysis of the effects of processor physics such as power and thermals on system level performance, iii) identification of a key set of run-time metrics that can be...

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Two papers accepted to ISCA 2015: Congratulations Indrani and Jin!

Posted by on Apr 8, 2015 in News | 0 comments

Congratulations to Indrani and Jin for their papers accepted by ISCA 2015! Indrani’s paper “Harmonia: Balancing Compute and Memory Power in High Performance GPUs”, coauthored with Wei N. Huang, Manish Arora and Sudhakar Yalamanchili, addresses the problem of efficiently managing the relative power demands of a high performance GPU and its memory subsystem. This work was collaborated with AMD Research. Jin’s paper “Dynamic Thread Block Launch: A Lightweight Execution Mechanism to Support Irregular Applications on GPUs”, coauthored with Norm Rubin, Albert...

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