Maya B. Gokhale

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 43

Top Venues

CoRR

MEMSYS

IPDPS Workshops

Publications

Mattia Vezzoli, Lukas Nel, Kshitij Bhardwaj, Rajit Manohar, Maya B. Gokhale
Designing an Energy-Efficient Fully-Asynchronous Deep Learning Convolution Engine. DATE (2024)
Maruti K. Mudunuru, James A. Ang, Mahantesh Halappanavar, Simon D. Hammond, Maya B. Gokhale, James C. Hoe, Tushar Krishna, Sarat Sreepathi, Matthew R. Norman, Ivy Bo Peng, Philip W. Jones
Perspectives on AI Architectures and Co-design for Earth System Predictability. CoRR (2023)
Xueyang Liu, Patricia Gonzalez-Guerrero, Ivy Peng, Ronald G. Minnich, Maya B. Gokhale
Accelerator integration in a tile-based SoC: lessons learned with a hardware floating point compression engine. SC Workshops (2023)
Zhuanhao Wu, Maya B. Gokhale, Scott Lloyd, Hiren D. Patel
SCCL: An open-source SystemC to RTL translator. FCCM (2023)
Jacob Wahlgren, Gabin Schieffer, Maya B. Gokhale, Ivy Peng
A Quantitative Approach for Adopting Disaggregated Memory in HPC Systems. SC (2023)
Jacob Wahlgren, Gabin Schieffer, Maya B. Gokhale, Ivy Peng
A Quantitative Approach for Adopting Disaggregated Memory in HPC Systems. CoRR (2023)
Karim Youssef, Niteya Shah, Maya B. Gokhale, Roger Pearce, Wu-chun Feng
AutoPager: Auto-tuning Memory-Mapped I/O Parameters in Userspace. HPEC (2022)
Michael Barrow, Zhuanhao Wu, Scott Lloyd, Maya B. Gokhale, Hiren D. Patel, Peter Lindstrom
ZHW: A Numerical CODEC for Big Data Scientific Computation. FPT (2022)
Keita Iwabuchi, Karim Youssef, Kaushik Velusamy, Maya B. Gokhale, Roger Pearce
Metall: A persistent memory allocator for data-centric analytics. Parallel Comput. 111 (2022)
Kshitij Bhardwaj, James Diffenderfer, Bhavya Kailkhura, Maya B. Gokhale
Unsupervised Test-Time Adaptation of Deep Neural Networks at the Edge: A Case Study. DATE (2022)
Jacob Wahlgren, Maya B. Gokhale, Ivy Bo Peng
Evaluating Emerging CXL-enabled Memory Pooling for HPC Systems. CoRR (2022)
Kshitij Bhardwaj, James Diffenderfer, Bhavya Kailkhura, Maya B. Gokhale
Benchmarking Test-Time Unsupervised Deep Neural Network Adaptation on Edge Devices. ISPASS (2022)
Jacob Wahlgren, Maya B. Gokhale, Ivy Bo Peng
Evaluating Emerging CXL-enabled Memory Pooling for HPC Systems. MCHPC@SC (2022)
Ivy Bo Peng, Maya B. Gokhale, Karim Youssef, Keita Iwabuchi, Roger Pearce
Enabling Scalable and Extensible Memory-Mapped Datastores in Userspace. IEEE Trans. Parallel Distributed Syst. 33 (4) (2022)
Hüsrev Cilasun, Chris Macaraeg, Ivy Bo Peng, Abhik Sarkar, Maya B. Gokhale
FPGA-accelerated simulation of variable latency memory systems. MEMSYS (2022)
Kshitij Bhardwaj, James Diffenderfer, Bhavya Kailkhura, Maya B. Gokhale
Benchmarking Test-Time Unsupervised Deep Neural Network Adaptation on Edge Devices. CoRR (2022)
Kshitij Bhardwaj, Maya B. Gokhale
Semi-supervised on-device neural network adaptation for remote and portable laser-induced breakdown spectroscopy. CoRR (2021)
Keita Iwabuchi, Karim Youssef, Kaushik Velusamy, Maya B. Gokhale, Roger Pearce
Metall: A Persistent Memory Allocator For Data-Centric Analytics. CoRR (2021)
Ivy Peng, Ian Karlin, Maya B. Gokhale, Kathleen Shoga, Matthew P. LeGendre, Todd Gamblin
A Holistic View of Memory Utilization on HPC Systems: Current and Future Trends. MEMSYS (2021)
Joshua Landgraf, Scott Lloyd, Maya B. Gokhale
Combining Emulation and Simulation to Evaluate a Near Memory Key/Value Lookup Accelerator. CoRR (2021)
Maya B. Gokhale, Lesley Shannon
FPGA Computing. IEEE Micro 41 (4) (2021)
Ivy Bo Peng, Roger Pearce, Maya B. Gokhale
On the Memory Underutilization: Exploring Disaggregated Memory on HPC Systems. SBAC-PAD (2020)
Ivy Bo Peng, Kai Wu, Jie Ren, Dong Li, Maya B. Gokhale
Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems. IPDPS (2020)
Ivy Bo Peng, Kai Wu, Jie Ren, Dong Li, Maya B. Gokhale
Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems. CoRR (2020)
Ivy Bo Peng, Marty McFadden, Eric W. Green, Keita Iwabuchi, Kai Wu, Dong Li, Roger Pearce, Maya B. Gokhale
UMap: Enabling Application-driven Optimizations for Page Management. CoRR (2019)
Ivy Bo Peng, Marty McFadden, Eric W. Green, Keita Iwabuchi, Kai Wu, Dong Li, Roger Pearce, Maya B. Gokhale
UMap: Enabling Application-driven Optimizations for Page Management. MCHPC@SC (2019)
Arun Rodrigues, Maya B. Gokhale, Gwendolyn Voskuilen
Towards a scatter-gather architecture: hardware and software issues. MEMSYS (2019)
René Cumplido, Maya B. Gokhale, Claudia Feregrino, Michael Hübner
Guest Editorial: Special Issue on Reconfigurable Computing and FPGA Technology. J. Parallel Distributed Comput. 133 (2019)
Keita Iwabuchi, Lance Lebanoff, Maya B. Gokhale, Roger Pearce
Metall: A Persistent Memory Allocator Enabling Graph Processing. IA3@SC (2019)
Ivy Bo Peng, Maya B. Gokhale, Eric W. Green
System Evaluation of the Intel Optane Byte-addressable NVM. CoRR (2019)
Ivy Bo Peng, Maya B. Gokhale, Eric W. Green
System evaluation of the Intel optane byte-addressable NVM. MEMSYS (2019)
Abhishek Kumar Jain, G. Scott Lloyd, Maya B. Gokhale
Performance Assessment of Emerging Memories Through FPGA Emulation. IEEE Micro 39 (1) (2019)
Abhishek Kumar Jain, G. Scott Lloyd, Maya B. Gokhale
Microscope on Memory: MPSoC-Enabled Computer Memory System Assessments. FCCM (2018)
G. Scott Lloyd, Maya B. Gokhale
Design space exploration of near memory accelerators. MEMSYS (2018)
G. Scott Lloyd, Maya B. Gokhale
Near memory key/value lookup acceleration. MEMSYS (2017)
Manu Shantharam, Keita Iwabuchi, Pietro Cicotti, Laura Carrington, Maya B. Gokhale, Roger A. Pearce
Performance Evaluation of Scale-Free Graph Algorithms in Low Latency Non-volatile Memory. IPDPS Workshops (2017)
Swann Perarnau, Judicael A. Zounmevo, Matthieu Dreher, Brian C. Van Essen, Roberto Gioiosa, Kamil Iskra, Maya B. Gokhale, Kazutomo Yoshii, Peter H. Beckman
Argo NodeOS: Toward Unified Resource Management for Exascale. IPDPS (2017)
Kevin A. Brown, Tianqi Xu, Keita Iwabuchi, Kento Sato, Adam Moody, Kathryn Mohror, Nikhil Jain, Abhinav Bhatele, Martin Schulz, Roger A. Pearce, Maya B. Gokhale, Satoshi Matsuoka
Accelerating Big Data Infrastructure and Applications (Ongoing Collaboration). ICDCS Workshops (2017)
Amanda J. Minnich, Noor Abu-El-Rub, Maya B. Gokhale, Ronald G. Minnich, Abdullah Mueen
ClearView: Data cleaning for online review mining. ASONAM (2016)
Keita Iwabuchi, Scott Sallinen, Roger A. Pearce, Brian Van Essen, Maya B. Gokhale, Satoshi Matsuoka
Towards a Distributed Large-Scale Dynamic Graph Data Store. IPDPS Workshops (2016)
Le Zheng, Sangho Shin, G. Scott Lloyd, Maya B. Gokhale, Kyungmin Kim, Sung-Mo Kang
RRAM-based TCAMs for pattern search. ISCAS (2016)
Scott Sallinen, Keita Iwabuchi, Suraj Poudel, Maya B. Gokhale, Matei Ripeanu, Roger A. Pearce
Graph colouring as a challenge problem for dynamic graph processing on distributed systems. SC (2016)
G. Scott Lloyd, Maya B. Gokhale
Evaluating the feasibility of storage class memory as main memory. MEMSYS (2016)
Maya B. Gokhale, G. Scott Lloyd, Chris Hajas
Near memory data structure rearrangement. MEMSYS (2015)
G. Scott Lloyd, Maya B. Gokhale
In-Memory Data Rearrangement for Irregular, Data-Intensive Computing. Computer 48 (8) (2015)
Brian Van Essen, Henry Hsieh, Sasha Ames, Roger A. Pearce, Maya B. Gokhale
DI-MMAP - a scalable memory-map runtime for out-of-core data-intensive applications. Clust. Comput. 18 (1) (2015)
Maya B. Gokhale, G. Scott Lloyd, Chris Macaraeg
Hybrid memory cube performance characterization on data-centric workloads. IA3@SC (2015)
Maya B. Gokhale, Michael Hübner, René Cumplido
Message from chairs. ReConFig (2015)
Judicael A. Zounmevo, Swann Perarnau, Kamil Iskra, Kazutomo Yoshii, Roberto Gioiosa, Brian Van Essen, Maya B. Gokhale, Edgar A. León
A Container-Based Approach to OS Specialization for Exascale Computing. IC2E (2015)
Ming Jiang, Brian Van Essen, Cyrus Harrison, Maya B. Gokhale
Multi-threaded streamline tracing for data-intensive architectures. LDAV (2014)
Sasha Ames, Jonathan E. Allen, David A. Hysom, G. Scott Lloyd, Maya B. Gokhale
Design and Optimization of a Metagenomics Analysis Workflow for NVRAM. IPDPS Workshops (2014)
Roger A. Pearce, Maya B. Gokhale, Nancy M. Amato
Faster Parallel Traversal of Scale Free Graphs at Extreme Scale with Vertex Delegates. SC (2014)
Joshua D. Walstrom, Maya B. Gokhale
RAW 2014 Keynotes. IPDPS Workshops (2014)
Roger A. Pearce, Maya B. Gokhale, Nancy M. Amato
Scaling Techniques for Massive Scale-Free Graphs in Distributed (External) Memory. IPDPS (2013)
Sasha Ames, David A. Hysom, Shea N. Gardner, G. Scott Lloyd, Maya B. Gokhale, Jonathan E. Allen
Scalable metagenomic taxonomy classification using a reference genome database. Bioinform. 29 (18) (2013)
Arup De, Maya B. Gokhale, Rajesh Gupta, Steven Swanson
Minerva: Accelerating Data Analysis in Next-Generation SSDs. FCCM (2013)
Sasha Ames, Maya B. Gokhale, Carlos Maltzahn
QMDS: a file system metadata management service supporting a graph data model-based query language. Int. J. Parallel Emergent Distributed Syst. 28 (2) (2013)
Maya B. Gokhale
Keynote 3 - Extreme scale challenges: Can reconfigurable computing come to the rescue? ReConFig (2013)
Dries Kimpe, Kathryn Mohror, Adam Moody, Brian Van Essen, Maya B. Gokhale, Robert B. Ross, Bronis R. de Supinski
Integrated in-system storage architecture for high performance computing. ROSS@ICS (2012)
Brian Van Essen, Roger A. Pearce, Sasha Ames, Maya B. Gokhale
On the Role of NVRAM in Data-intensive Architectures: An Evaluation. IPDPS (2012)
Brian Van Essen, Chris Macaraeg, Maya B. Gokhale, Ryan Prenger
Accelerating a Random Forest Classifier: Multi-Core, GP-GPU, or FPGA? FCCM (2012)
Brian Van Essen, Henry Hsieh, Sasha Ames, Maya B. Gokhale
DI-MMAP: A High Performance Memory-Map Runtime for Data-Intensive Applications. SC Companion (2012)
Craig D. Ulmer, Maya B. Gokhale, Brian Gallagher, Philip Top, Tina Eliassi-Rad
Massively parallel acceleration of a document-similarity classifier to detect web attacks. J. Parallel Distributed Comput. 71 (2) (2011)
Sasha Ames, Maya B. Gokhale, Carlos Maltzahn
QMDS: A File System Metadata Management Service Supporting a Graph Data Model-Based Query Language. NAS (2011)
Ronald G. Minnich, Curtis L. Janssen, Sriram Krishnamoorthy, Andres Marquez, Wenjing Ma, Maya B. Gokhale, Ponnuswamy Sadayappan, Eric Van Hensbergen, Jonathan Appavoo, Jim McKie
Poster: FOX: a fault-oblivious extreme scale execution environment. SC Companion (2011)
Weirong Jiang, Maya B. Gokhale
Real-Time Classification of Multimedia Traffic Using FPGA. FPL (2010)
Roger A. Pearce, Maya B. Gokhale, Nancy M. Amato
Multithreaded Asynchronous Graph Traversal for In-Memory and Semi-External Memory. SC (2010)
Faisal Khan, Maya B. Gokhale, Chen-Nee Chuah
FPGA Based Network Traffic Analysis Using Traffic Dispersion Patterns. FPL (2010)
Craig D. Ulmer, Maya B. Gokhale
A configurable-hardware document-similarity classifier to detect web attacks. IPDPS Workshops (2010)
Philip Top, Maya B. Gokhale
Application Experiments: MPPA and FPGA. ERSA (2009)
Philip Top, Maya B. Gokhale
Application Experiments: MPPA and FPGA. FCCM (2009)
Maya B. Gokhale, Jonathan D. Cohen, Andy Yoo, William Marcus Miller, Arpith C. Jacob, Craig D. Ulmer, Roger A. Pearce
Hardware Technologies for High-Performance Data-Intensive Computing. Computer 41 (4) (2008)
Justin L. Tripp, Maya B. Gokhale, Anders A. Hansson
A Case Study of Hardware/Software Partitioning of Traffic Simulation on the Cray XD1. IEEE Trans. Very Large Scale Integr. Syst. 16 (1) (2008)
Ronald Scrofano, Maya B. Gokhale, Frans Trouw, Viktor K. Prasanna
Accelerating Molecular Dynamics Simulations with Reconfigurable Computers. IEEE Trans. Parallel Distributed Syst. 19 (6) (2008)
Debayan Bhaduri, Sandeep K. Shukla, Paul S. Graham, Maya B. Gokhale
Reliability Analysis of Large Circuits Using Scalable Techniques and Tools. IEEE Trans. Circuits Syst. I Regul. Pap. (11) (2007)
Zachary K. Baker, Maya B. Gokhale
On the Acceleration of Shortest Path Calculations in Transportation Networks. FCCM (2007)
Zachary K. Baker, Maya B. Gokhale, Justin L. Tripp
Matched Filter Computation on FPGA, Cell and GPU. FCCM (2007)
Arpith C. Jacob, Maya B. Gokhale
Language classification using n-grams accelerated by FPGA-based Bloom filters. HPRCTA (2007)
Reid B. Porter, Jan R. Frigo, Al Conti, Neal R. Harvey, Garrett T. Kenyon, Maya B. Gokhale
A reconfigurable computing framework for multi-scale cellular image processing. Microprocess. Microsystems 31 (8) (2007)
D. Michael Cai, Maya B. Gokhale, James Theiler
Comparison of feature selection and classification algorithms in identifying malicious executables. Comput. Stat. Data Anal. 51 (6) (2007)
Justin L. Tripp, Maya B. Gokhale, Kristopher D. Peterson
Trident: From High-Level Language to Hardware Circuitry. Computer 40 (3) (2007)
Debayan Bhaduri, Sandeep K. Shukla, Paul S. Graham, Maya B. Gokhale
Scalable techniques and tools for reliability analysis of large circuits. VLSI Design (2007)
M. Hsiao, Sandeep K. Shukla, Maya B. Gokhale, Alvin R. Lebeck
Panel: Nano-computing - do we need new formal approaches? MEMOCODE (2006)
Ronald Scrofano, Maya B. Gokhale, Frans Trouw, Viktor K. Prasanna
Hardware/Software Approach to Molecular Dynamics on Reconfigurable Computers. FCCM (2006)
Maya B. Gokhale
RAW keynote 1: the outer limits: reconfigurable computing in space and in orbit. IPDPS (2006)
Reid B. Porter, Jan R. Frigo, Maya B. Gokhale, Christophe Wolinski, François Charot, Charles Wagner
A Programmable, Maximal Throughput Architecture for Neighborhood Image Processing. FCCM (2006)
Heather Quinn, Debayan Bhaduri, Christof Teuscher, Paul S. Graham, Maya B. Gokhale
The STAR-C Truth: Analyzing Reconfigurable Supercomputing Reliability. FCCM (2006)
Debayan Bhaduri, Sandeep K. Shukla, Deji Coker, Valerie E. Taylor, Paul S. Graham, Maya B. Gokhale
A hybrid framework for design and analysis of fault-tolerant architectures. DATE (2006)
Reid B. Porter, Jan R. Frigo, Maya B. Gokhale, Christophe Wolinski, François Charot, Charles Wagner
A Run-Time Re-configurable Parametric Architecture for Local Neighborhood Image Processing. DSD (2006)
Maya B. Gokhale, Paul S. Graham, Michael J. Wirthlin, Darrel Eric Johnson, Nathan Rollins
Dynamic reconfiguration for management of radiation-induced faults in FPGAs. Int. J. Embed. Syst. 2 (1/2) (2006)
Maya B. Gokhale, Christopher Rickett, Justin L. Tripp, Chung Hsu, Ronald Scrofano
Promises and Pitfalls of Reconfigurable Supercomputing. ERSA (2006)
Dongming Cai, James Theiler, Maya B. Gokhale
Detecting a malicious executable without prior knowledge of its patterns. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security (2005)
Justin L. Tripp, Henning S. Mortveit, Anders A. Hansson, Maya B. Gokhale
Metropolitan Road Traffic Simulation on FPGAs. FCCM (2005)
Justin L. Tripp, Anders A. Hansson, Maya B. Gokhale, Henning S. Mortveit
Partitioning Hardware and Software for Reconfigurable Supercomputing Applications: A Case Study. SC (2005)
Justin L. Tripp, Kristopher D. Peterson, Christine Ahrens, Jeffrey D. Poznanovic, Maya B. Gokhale
Trident: An FPGA Compiler Framework for Floating-Point Algorithms. FPL (2005)
Maya B. Gokhale, Christine Ahrens, Janette Frigo, Christophe Wolinski
Communications Scheduling for Concurrent Processes on Reconfigurable Computers. FCCM (2004)
Christophe Wolinski, Krzysztof Kuchcinski, Maya B. Gokhale
A Constraints Programming Approach to Communication Scheduling on SoPC Architectures. DSD (2004)
Christophe Wolinski, Krzysztof Kuchcinski, Maya B. Gokhale
A constraints programming approach to communication scheduling on SoPC architectures. FPGA (2004)
Maya B. Gokhale, Janette Frigo, Christine Ahrens, Justin L. Tripp, Ronald G. Minnich
Monte Carlo Radiative Heat Transfer Simulation on a Reconfigurable Computer. FPL (2004)
Maya B. Gokhale, Paul S. Graham, Darrel Eric Johnson, Nathan Rollins, Michael J. Wirthlin
Dynamic Reconfiguration for Management of Radiation-Induced Faults in FPGAs. IPDPS (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Maya B. Gokhale