Gennady Pekhimenko

gpekhime@cs.cmu.edu

412-327-4640

Resume/CV

Links:

About Me

In July 2016, I joined Systems Research Group at Microsoft Research in Redmond.
In summer 2017, I will join University of Toronto, CS Department as an Assistant Professor.

From 2010 until 2016, I was a PhD Student in the Computer Science Department at Carnegie Mellon University, working with Professor Todd Mowry and Professor Onur Mutlu. Before that (2008-2010), I worked at IBM Toronto Lab (Compilers Group) under supervision of Dr. Yaoqing Gao. I received my MSc. in Computer Science in 2008 from the University of Toronto, where I was advised by Professor Angela Demke Brown ; and my Diploma (5-year degree) in Applied Mathematics and Computer Science from Moscow State University in 2004. My work is (was) funded by NVIDIA Graduate, Microsoft Research, Qualcomm Innovation, and NSERC CGS-D Fellowships.

Research

I am generally interested in the areas of computer architecture and systems. My major research focus is on efficient memory hierarchy designs with data compression, approximate computing, compilers, web search, and, more recently, GPUs and bioinformatics.

Publications

Zorua: A Holistic Approach to Resource Virtualization in GPUs
Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu
MICRO-49, October 2016

Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization
Kevin Chang, Abhijith Kashyap, Hasan Hassan, Samira Khan, Kevin Hsieh, Donghyuk Lee, Saugata Ghose, Gennady Pekhimenko, Tianshi Li, and Onur Mutlu
SIGMETRICS, June 2016

A Case for Toggle-Aware Compression for GPU Systems
Gennady Pekhimenko, Evgeny Bolotin, Nandita Vijaykumar, Onur Mutlu, Todd C. Mowry, and Stephen W. Keckler
HPCA-22, March 2016

ChargeCache: Reducing DRAM Latency by Exploiting Row Access Locality
Hasan Hassan, Gennady Pekhimenko, Nandita Vijaykumar, Vivek Seshadri, Donghyuk Lee, Oguz Ergin, and Onur Mutlu
HPCA-22, March 2016

Optimal Seed Solver: Optimizing Seed Selection in Read Mapping
Hongyi Xin, Richard Zhu, Sunny Nahar, John Emmons, Gennady Pekhimenko, Carl Kingsford, Can Alkan, and Onur Mutlu
Oxford Bioinformatics, 2016

RFVP: Rollback-Free Value Prediction with Safe-to-Approximate Loads
Amir Yazdanbakhsh, Gennady Pekhimenko, Bradley Thwaites, Hadi Esmaeilzadeh, Onur Mutlu, and Todd C. Mowry
ACM TACO, January 2016

Simultaneous Multi Layer Access: A High Bandwidth and Low Cost 3D-Stacked Memory Interface
Donghyuk Lee, Saugata Ghose, Gennady Pekhimenko, Samira Khan, Onur Mutlu
ACM TACO, January 2016

Mitigating the Memory Bottleneck with Approximate Load Value Prediction
Amir Yazdanbakhsh, Gennady Pekhimenko, Bradley Thwaites, Hadi Esmaeilzadeh, Onur Mutlu, and Todd C. Mowry
IEEE Design and Test, January 2016

Toggle-Aware Compression for GPUs
Gennady Pekhimenko, Evgeny Bolotin, Mike O'Connor, Onur Mutlu, Todd C. Mowry, Stephen W. Keckler
IEEE CAL, June 2015

A Case for Core-Assisted Bottleneck Acceleration in GPUs: Enabling Efficient Data Compression
Nandita Vijaykumar, Gennady Pekhimenko, Adwait Jog, Abhishek Bhowmick, Rachata Ausavarungnirun, Chita Das, Mahmut Kandemir, Todd C. Mowry, and Onur Mutlu
ISCA-42, June 2015

Page Overlays: An Enhanced Virtual Memory Framework to Enable Fine-grained Memory Management
Vivek Seshadri, Gennady Pekhimenko, Olatunji Ruwase, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry, and Trishul Chilimbi
ISCA-42, June 2015

PocketTrend: Timely Identification and Delivery of Trending Search Content to Mobile Users
Gennady Pekhimenko, Dimitrios Lymberopoulos, Oriana Riva, Karin Strauss, and Doug Burger
WWW-15, May 2015

Energy-Efficient Data Compression for GPU Memory Systems
Gennady Pekhimenko, Evgeny Bolotin, Mike O'Connor, Onur Mutlu, Todd C. Mowry, and Stephen W. Keckler
SRC@ASPLOS, Short Paper, March 2015
First place in ACM Student Research Competition.

Exploiting Compressed Block Size as an Indicator of Future Reuse
Gennady Pekhimenko, Tyler Huberty, Rui Cai, Onur Mutlu, Phillip P. Gibbons, Michael A. Kozuch, and Todd C. Mowry
HPCA-21, February 2015

Adaptive-Latency DRAM: Optimizing DRAM Timing for the Common-Case
Donghyuk Lee, Yoongu Kim, Gennady Pekhimenko, Samira Khan, Vivek Seshadri, Kevin Chang, and Onur Mutlu
HPCA-21, February 2015

RFVP: Rollback-Free Value Prediction with Safe-to-Approximate Loads
Amir Yazdanbakhsh, Gennady Pekhimenko, Bradley Thwaites, Hadi Esmaeilzadeh, Taesoo Kim, Onur Mutlu, and Todd C. Mowry
SAFARI Technical Report, TR-SAFARI-2015-002, February 2015

Shifted Hamming Distance: A Fast and Accurate SIMD-Friendly Filter for Local Alignment in Read Mapping
Hongyi Xin, John Greth, John Emmons, Gennady Pekhimenko, Carl Kingsford, Can Alkan, Onur Mutlu
Oxford Bioinformatics, January 2015

Rollback-Free Value Prediction with Approximate Memory Loads
Bradley Thwaites, Gennady Pekhimenko, Amir Yazdanbakhsh, Girish Mururu, Jongse Park, Hadi Esmaeilzadeh, Onur Mutlu, Todd C. Mowry
PACT-23, Short Paper, August 2014

Linearly Compressed Pages: A Low-Complexity, Low-Latency Main Memory Compression Framework
Gennady Pekhimenko, Vivek Seshadri, Yoongu Kim, Hongyi Xin, Onur Mutlu, Philip B. Gibbons, Michael A. Kozuch, and Todd C. Mowry
MICRO-46, December 2013

RowClone: Fast and Energy-Efficient In-DRAM Bulk Data Copy and Initialization
Vivek Seshadri, Yoongu Kim, Chris Fallin, Donghyuk Lee, Rachata Ausavarungnirun, Gennady Pekhimenko, Yixin Luo, Onur Mutlu, Michael A. Kozuch, Phillip B. Gibbons, and Todd C. Mowry
MICRO-46, December 2013

Base-Delta-Immediate Compression: Practical Data Compression for On-Chip Caches
Gennady Pekhimenko, Vivek Seshadri, Onur Mutlu, Philip B. Gibbons, Michael A. Kozuch, and Todd C. Mowry
PACT-21, Septermber 2012

Linearly Compressed Pages: A Main Memory Compression Framework with Low Complexity and Low Latency
Gennady Pekhimenko, Todd C. Mowry, and Onur Mutlu
PACT-21, Short Paper, Septermber 2012
Second place in ACM Student Research Competition.

Software Automatic Tuning: From Concepts to State-of-the-Art Results
Gennady Pekhimenko and Angela Demke Brown
Chapter 19, Springer, September 2010

Efficient Program Compilation through Machine Learning Techniques
Gennady Pekhimenko and Angela Demke Brown
iWAPT, October 2009