Richard W. Vuduc

According to our database, Richard W. Vuduc authored at least 134 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

FAIR Sharing of Data in Autotuning Research (Vision Paper).

Jana Hozzová, Jacob O. Tørring, Ben van Werkhoven, David Strelák, Richard W. Vuduc

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

Asynchronous Distributed-Memory Parallel Algorithms for Influence Maximization.

Shubhendra Pal Singhal, Souvadra Hati, Jeffrey Young, Vivek Sarkar, Akihiro Hayashi, Richard W. Vuduc

Proceedings of the International Conference for High Performance Computing, 2024

A Workflow for the Synthesis of Irregular Memory Access Microbenchmarks.

Kevin Sheridan, Jered Dominguez-Trujillo, Galen M. Shipman, Patrick Lavin, Christopher Scott, Agustin Vaca Valverde, Richard W. Vuduc, Jeffrey Young

Proceedings of the International Symposium on Memory Systems, 2024

2023

AminerMag X Dataset.

Srinivas Eswar, Benjamin Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Rich Vuduc, Haesun Park

Dataset, June, 2023

AminerMag S Dataset.

Srinivas Eswar, Benjamin Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Rich Vuduc, Haesun Park

Dataset, June, 2023

Calculon: a methodology and tool for high-level co-design of systems and large language models.

Mikhail Isaev, Nic McDonald, Larry Dennison, Richard W. Vuduc

Proceedings of the International Conference for High Performance Computing, 2023

Multifidelity Memory System Simulation in SST.

Patrick Lavin, Jeffrey Young, Richard W. Vuduc

Proceedings of the International Symposium on Memory Systems, 2023

Distributed-Memory Parallel JointNMF.

Srinivas Eswar, Benjamin Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park

Proceedings of the 37th International Conference on Supercomputing, 2023

2022

Critique of "MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization" by SCC Team From Georgia Tech.

Nicole Prindle, Ali Kazmi, Aman Jain, Albert Chen, Marissa Sorkin, Sudhanshu Agarwal, Richard W. Vuduc, Vijay Thakkar

IEEE Trans. Parallel Distributed Syst., 2022

Jack, The Autotuner.

Richard W. Vuduc

Comput. Sci. Eng., 2022

Exaflops Biomedical Knowledge Graph Analytics.

Ramakrishnan Kannan, Piyush Sao, Hao Lu, Jakub Kurzak, Gundolf Schenk, Yongmei Shi, Seung-Hwan Lim, Sharat Israni, Vijay Thakkar, Guojing Cong, Robert M. Patton, Sergio E. Baranzini, Richard W. Vuduc, Thomas E. Potok

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Nimble GNN Embedding with Tensor-Train Decomposition.

Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

"Smarter" NICs for faster molecular dynamics: a case study.

Sara Karamati, Clayton Hughes, K. Scott Hemmert, Ryan E. Grant, Whit Schonbein, Scott Levy, Thomas M. Conte, Jeffrey Young, Richard W. Vuduc

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

ParaGraph: An application-simulator interface and toolkit for hardware-software co-design.

Mikhail Isaev, Nic McDonald, Jeffrey Young, Richard W. Vuduc

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

ORCA: Outlier detection and Robust Clustering for Attributed graphs.

Srinivas Eswar, Ramakrishnan Kannan, Richard W. Vuduc, Haesun Park

J. Glob. Optim., 2021

Communication-avoiding kernel ridge regression on parallel and distributed systems.

Yang You, Jingyue Huang, Cho-Jui Hsieh, Richard W. Vuduc, James Demmel

CCF Trans. High Perform. Comput., 2021

Is it Nemo or Dory? Fast and accurate object detection for IoT and edge devices.

Sudhanshu Agarwal, Richard W. Vuduc

Proceedings of the IoT '21: 11th International Conference on the Internet of Things, St. Gallen, Switzerland, November 8, 2021

An interface for multidimensional arrays in Arkouda.

Mitesh Kothari, Richard W. Vuduc

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters.

Piyush Sao, Hao Lu, Ramakrishnan Kannan, Vijay Thakkar, Richard W. Vuduc, Thomas E. Potok

Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

Online model swapping for architectural simulation.

Patrick Lavin, Jeffrey Young, Richard W. Vuduc, Jonathan Beard

Proceedings of the CF '21: Computing Frontiers Conference, 2021

CUP: Cluster Pruning for Compressing Deep Neural Networks.

Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Automatic Generation of High-Performance FFT Kernels on Arm and X86 CPUs.

Zhihao Li, Haipeng Jia, Yunquan Zhang, Tun Chen, Liang Yuan, Richard W. Vuduc

IEEE Trans. Parallel Distributed Syst., 2020

Programming Strategies for Irregular Algorithms on the Emu Chick.

Eric R. Hein, Srinivas Eswar, Abdurrahman Yasar, Jiajia Li, Jeffrey S. Young, Thomas M. Conte, Ümit V. Çatalyürek, Richard W. Vuduc, E. Jason Riedy, Bora Uçar

ACM Trans. Parallel Comput., 2020

Scalable knowledge graph analytics at 136 petaflop/s.

Ramakrishnan Kannan, Piyush Sao, Hao Lu, Drahomira Herrmannova, Vijay Thakkar, Robert M. Patton, Richard W. Vuduc, Thomas E. Potok

Proceedings of the International Conference for High Performance Computing, 2020

Distributed-memory parallel symmetric nonnegative matrix factorization.

Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Richard W. Vuduc, Haesun Park

Proceedings of the International Conference for High Performance Computing, 2020

A supernodal all-pairs shortest path algorithm.

Piyush Sao, Ramakrishnan Kannan, Prasun Gera, Richard W. Vuduc

Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

Intrepydd: performance, productivity, and portability for data science application kernels.

Tong Zhou, Jun Shirako, Anirudh Jain, Sriseshan Srikanth, Thomas M. Conte, Richard W. Vuduc, Vivek Sarkar

Proceedings of the 2020 ACM SIGPLAN International Symposium on New Ideas, 2020

Evaluating Gather and Scatter Performance on CPUs and GPUs.

Patrick Lavin, Jeffrey Young, Richard W. Vuduc, E. Jason Riedy, Aaron Vose, Daniel Ernst

Proceedings of the MEMSYS 2020: The International Symposium on Memory Systems, 2020

Max orientation coverage: efficient path planning to avoid collisions in the CNC milling of 3D objects.

Xin Chen, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc, Liting Hu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

A microbenchmark characterization of the Emu chick.

Jeffrey S. Young, Eric R. Hein, Srinivas Eswar, Patrick Lavin, Jiajia Li, E. Jason Riedy, Richard W. Vuduc, Tom Conte

Parallel Comput., 2019

A communication-avoiding 3D algorithm for sparse LU factorization on heterogeneous systems.

Piyush Sao, Xiaoye S. Li, Richard W. Vuduc

J. Parallel Distributed Comput., 2019

Optimizing sparse tensor times matrix on GPUs.

Yuchen Ma, Jiajia Li, Xiaolong Wu, Chenggang Yan, Jimeng Sun, Richard W. Vuduc

J. Parallel Distributed Comput., 2019

Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization.

Ioakeim Perros, Evangelos E. Papalexakis, Richard W. Vuduc, Elizabeth Searles, Jimeng Sun

J. Biomed. Informatics, 2019

CUP: Cluster Pruning for Compressing Deep Neural Networks.

Rahul Duggal, Cao Xiao, Richard W. Vuduc, Jimeng Sun

CoRR, 2019

Self-stabilizing Connected Components.

Piyush Sao, Christian Engelmann, Srinivas Eswar, Oded Green, Richard W. Vuduc

Proceedings of the 9th IEEE/ACM Workshop on Fault Tolerance for HPC at eXtreme Scale, 2019

Adaptive Deep Path: Efficient Coverage of a Known Environment under Various Configurations.

Xin Chen, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Load-Balanced Sparse MTTKRP on GPUs.

Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Richard W. Vuduc, P. Sadayappan

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

A communication-avoiding 3D sparse triangular solver.

Piyush Sao, Ramakrishnan Kannan, Xiaoye Sherry Li, Richard W. Vuduc

Proceedings of the ACM International Conference on Supercomputing, 2019

Efficient and effective sparse tensor reordering.

Jiajia Li, Bora Uçar, Ümit V. Çatalyürek, Jimeng Sun, Kevin J. Barker, Richard W. Vuduc

Proceedings of the ACM International Conference on Supercomputing, 2019

Faster parallel collision detection at high resolution for CNC milling applications.

Xin Chen, Dmytro Konobrytskyi, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc

Proceedings of the 48th International Conference on Parallel Processing, 2019

2018

Autotuning in High-Performance Computing Applications.

Prasanna Balaprakash, Jack J. Dongarra, Todd Gamblin, Mary W. Hall, Jeffrey K. Hollingsworth, Boyana Norris, Richard W. Vuduc

Proc. IEEE, 2018

Spatter: A Benchmark Suite for Evaluating Sparse Access Patterns.

Patrick Lavin, E. Jason Riedy, Rich Vuduc, Jeffrey S. Young

CoRR, 2018

A Simple Methodology for Computing Families of Algorithms.

Devangi N. Parikh, Margaret E. Myers, Richard W. Vuduc, Robert A. van de Geijn

CoRR, 2018

HiCOO: hierarchical storage of sparse tensors.

Jiajia Li, Jimeng Sun, Richard W. Vuduc

Proceedings of the International Conference for High Performance Computing, 2018

SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping.

Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Communication-Avoiding 3D LU Factorization Algorithm for Sparse Matrices.

Piyush Sao, Xiaoye Sherry Li, Richard W. Vuduc

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

An Energy-Efficient Single-Source Shortest Path Algorithm.

Sara Karamati, Jeffrey S. Young, Richard W. Vuduc

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

An Initial Characterization of the Emu Chick.

Eric R. Hein, Tom Conte, Jeffrey Young, Srinivas Eswar, Jiajia Li, Patrick Lavin, Richard W. Vuduc, E. Jason Riedy

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems.

Yang You, James Demmel, Cho-Jui Hsieh, Richard W. Vuduc

Proceedings of the 32nd International Conference on Supercomputing, 2018

2017

Design and Implementation of a Communication-Optimal Classifier for Distributed Kernel Support Vector Machines.

Yang You, James Demmel, Kent Czechowski, Le Song, Rich Vuduc

IEEE Trans. Parallel Distributed Syst., 2017

Modeling the Power Variability of Core Speed Scaling on Homogeneous Multicore Systems.

Zhihui Du, Rong Ge, Victor W. Lee, Richard W. Vuduc, David A. Bader, Ligang He

Sci. Program., 2017

Polyadic Regression and its Application to Chemogenomics.

Ioakeim Perros, Fei Wang, Ping Zhang, Peter B. Walker, Richard W. Vuduc, Jyotishman Pathak, Jimeng Sun

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Efficient Communications in Training Large Scale Neural Networks.

Yiyang Zhao, Linnan Wang, Wei Wu, George Bosilca, Richard W. Vuduc, Jinmian Ye, Wenqi Tang, Zenglin Xu

Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

SPARTan: Scalable PARAFAC2 for Large & Sparse Data.

Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

HPPAC Workshop Introduction.

Shuaiwen Leon Song, Richard W. Vuduc

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Model-Driven Sparse CP Decomposition for Higher-Order Tensors.

Jiajia Li, Jee Choi, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2016

Wanted: Floating-Point Add Round-off Error instruction.

Marat Dukhan, Richard W. Vuduc, E. Jason Riedy

CoRR, 2016

Optimizing Sparse Tensor Times Matrix on Multi-core and Many-Core Architectures.

Jiajia Li, Yuchen Ma, Chenggang Yan, Richard W. Vuduc

Proceedings of the 6th Workshop on Irregular Applications: Architecture and Algorithms, 2016

Hybrid Dynamic Trees for Extreme-Resolution 3D Sparse Data Modeling.

Mohammad M. Hossain, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Analyzing the Energy Efficiency of the Fast Multipole Method Using a DVFS-Aware Energy Model.

JeeWhan Choi, Richard W. Vuduc

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

A Self-Correcting Connected Components Algorithm.

Piyush Sao, Oded Green, Chirag Jain, Richard W. Vuduc

Proceedings of the ACM Workshop on Fault-Tolerance for HPC at Extreme Scale, 2016

2015

UNICORN: a unified approach for localizing non-deadlock concurrency bugs.

Sangmin Park, Richard W. Vuduc, Mary Jean Harrold

Softw. Test. Verification Reliab., 2015

Branch-Avoiding Graph Algorithms.

Oded Green, Marat Dukhan, Richard W. Vuduc

Proceedings of the 27th ACM on Symposium on Parallelism in Algorithms and Architectures, 2015

An input-adaptive and in-place approach to dense tensor-times-matrix multiply.

Jiajia Li, Casey Battaglino, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc

Proceedings of the International Conference for High Performance Computing, 2015

A GPU-parallel construction of volumetric tree.

Mohammad M. Hossain, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc

Proceedings of the 5th Workshop on Irregular Applications - Architectures and Algorithms, 2015

CA-SVM: Communication-Avoiding Support Vector Machines on Distributed Systems.

Yang You, James Demmel, Kenneth Czechowski, Le Song, Richard W. Vuduc

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

A Sparse Direct Solver for Distributed Memory Xeon Phi-Accelerated Systems.

Piyush Sao, Xing Liu, Richard W. Vuduc, Xiaoye S. Li

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

Sparse Hierarchical Tucker Factorization and Its Application to Healthcare.

Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

A distributed kernel summation framework for general-dimension machine learning.

Dongryeol Lee, Piyush Sao, Richard W. Vuduc, Alexander G. Gray

Stat. Anal. Data Min., 2014

Improving the energy efficiency of Big Cores.

Kenneth Czechowski, Victor W. Lee, Ed Grochowski, Ronny Ronen, Ronak Singhal, Richard W. Vuduc, Pradeep Dubey

Proceedings of the ACM/IEEE 41st International Symposium on Computer Architecture, 2014

Algorithmic Time, Energy, and Power on Candidate HPC Compute Building Blocks.

Jee W. Choi, Marat Dukhan, Xing Liu, Richard W. Vuduc

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

A Distributed CPU-GPU Sparse Direct Solver.

Piyush Sao, Richard W. Vuduc, Xiaoye Sherry Li

Proceedings of the Euro-Par 2014 Parallel Processing, 2014

A CPU: GPU Hybrid Implementation and Model-Driven Scheduling of the Fast Multipole Method.

JeeWhan Choi, Aparna Chandramowlishwaran, Kamesh Madduri, Richard W. Vuduc

Proceedings of the Seventh Workshop on General Purpose Processing Using GPUs, 2014

2013

Introduction for Special Issue on Autotuning.

Leonid Oliker, Richard W. Vuduc

Int. J. High Perform. Comput. Appl., 2013

How much (execution) time and energy does my algorithm cost?

JeeWhan Choi, Richard W. Vuduc

XRDS, 2013

Sustainable Software Development for Next-Gen Sequencing (NGS) Bioinformatics on Emerging Platforms.

Shel Swenson, Yogesh Simmhan, Viktor K. Prasanna, Manish Parashar, E. Jason Riedy, David A. Bader, Richard W. Vuduc

CoRR, 2013

Self-stabilizing iterative solvers.

Piyush Sao, Richard W. Vuduc

Proceedings of the Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2013

Methods for High-Throughput Computation of Elementary Functions.

Marat Dukhan, Richard W. Vuduc

Proceedings of the Parallel Processing and Applied Mathematics, 2013

Griffin: grouping suspicious memory-access patterns to improve understanding of concurrency bugs.

Sangmin Park, Mary Jean Harrold, Richard W. Vuduc

Proceedings of the International Symposium on Software Testing and Analysis, 2013

A Theoretical Framework for Algorithm-Architecture Co-design.

Kenneth Czechowski, Richard W. Vuduc

Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

A Roofline Model of Energy.

JeeWhan Choi, Daniel Bedard, Robert J. Fowler, Richard W. Vuduc

Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

2012

Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU)

Hyesoon Kim, Richard W. Vuduc, Sara S. Baghsorkhi, JeeWhan Choi, Wen-mei W. Hwu

Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers, ISBN: 978-3-031-01737-7, 2012

When Prefetching Works, When It Doesn't, and Why.

Jaekyu Lee, Hyesoon Kim, Richard W. Vuduc

ACM Trans. Archit. Code Optim., 2012

A massively parallel adaptive fast multipole method on heterogeneous architectures.

Ilya Lashuk, Aparna Chandramowlishwaran, Harper Langston, Tuan-Anh Nguyen, Rahul S. Sampath, Aashay Shringarpure, Richard W. Vuduc, Lexing Ying, Denis Zorin, George Biros

Commun. ACM, 2012

Toward a Theory of Algorithm-Architecture Co-design.

Richard W. Vuduc, Kenneth Czechowski

Proceedings of the High Performance Computing for Computational Science, 2012

Brief announcement: towards a communication optimal fast multipole method and its implications at exascale.

Aparna Chandramowlishwaran, JeeWhan Choi, Kamesh Madduri, Richard W. Vuduc

Proceedings of the 24th ACM Symposium on Parallelism in Algorithms and Architectures, 2012

A Distributed Kernel Summation Framework for General-Dimension Machine Learning.

Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Optimizing the computation of n-point correlations on large-scale astronomical data.

William B. March, Kenneth Czechowski, Marat Dukhan, Thomas Benson, Dongryeol Lee, Andrew J. Connolly, Richard W. Vuduc, Edmond Chow, Alexander G. Gray

Proceedings of the SC Conference on High Performance Computing Networking, 2012

Synthesizing Loops for Program Inversion.

Cong Hou, Daniel J. Quinlan, David R. Jefferson, Richard Fujimoto, Richard W. Vuduc

Proceedings of the Reversible Computation, 4th International Workshop, 2012

A performance analysis framework for identifying potential benefits in GPGPU applications.

Jaewoong Sim, Aniruddha Dasgupta, Hyesoon Kim, Richard W. Vuduc

Proceedings of the 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2012

A type theory for probability density functions.

Sooraj Bhat, Ashish Agarwal, Richard W. Vuduc, Alexander G. Gray

Proceedings of the 39th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2012

Courses in High-performance Computing for Scientists and Engineers.

Richard W. Vuduc, Kenneth Czechowski, Aparna Chandramowlishwaran, JeeWhan Choi

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

Modeling and Analysis for Performance and Power.

JeeWhan Choi, Richard W. Vuduc

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

Communication-Optimal Parallel N-body Solvers.

Aparna Chandramowlishwaran, Richard W. Vuduc

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

A Unified Approach for Localizing Non-deadlock Concurrency Bugs.

Sangmin Park, Richard W. Vuduc, Mary Jean Harrold

Proceedings of the Fifth IEEE International Conference on Software Testing, 2012

On the communication complexity of 3D FFTs and its implications for Exascale.

Kenneth Czechowski, Casey Battaglino, Chris McClanahan, Kartik Iyer, P.-K. Yeung, Richard W. Vuduc

Proceedings of the International Conference on Supercomputing, 2012

A New Method for Program Inversion.

Cong Hou, George Vulov, Daniel J. Quinlan, David R. Jefferson, Richard Fujimoto, Richard W. Vuduc

Proceedings of the Compiler Construction - 21st International Conference, 2012

2011

Autotuning.

Richard W. Vuduc

Proceedings of the Encyclopedia of Parallel Computing, 2011

The Sixth International Workshop on Automatic Performance Tuning (iWAPT2011).

Takahiro Katagiri, Richard W. Vuduc

Proceedings of the International Conference on Computational Science, 2011

What GPU Computing Means for High-End Systems.

Richard W. Vuduc, Kent Czechowski

IEEE Micro, 2011

The Backstroke framework for source level reverse computation applied to parallel discrete event simulation.

George Vulov, Cong Hou, Richard W. Vuduc, Richard Fujimoto, Daniel J. Quinlan, David R. Jefferson

Proceedings of the Winter Simulation Conference 2011, 2011

Balance Principles for Algorithm-Architecture Co-Design.

Kent Czechowski, Casey Battaglino, Chris McClanahan, Aparna Chandramowlishwaran, Richard W. Vuduc

Proceedings of the 3rd USENIX Workshop on Hot Topics in Parallelism, 2011

2010

Toward interactive statistical modeling.

Sooraj Bhat, Ashish Agarwal, Alexander G. Gray, Richard W. Vuduc

Proceedings of the International Conference on Computational Science, 2010

Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures.

Abtin Rahimian, Ilya Lashuk, Shravan K. Veerapaneni, Aparna Chandramowlishwaran, Dhairya Malhotra, Logan Moon, Rahul S. Sampath, Aashay Shringarpure, Jeffrey S. Vetter, Richard W. Vuduc, Denis Zorin, George Biros

Proceedings of the Conference on High Performance Computing Networking, 2010

Diagnosis, Tuning, and Redesign for Multicore Performance: A Case Study of the Fast Multipole Method.

Aparna Chandramowlishwaran, Kamesh Madduri, Richard W. Vuduc

Proceedings of the Conference on High Performance Computing Networking, 2010

Model-driven autotuning of sparse matrix-vector multiply on GPUs.

JeeWhan Choi, Amik Singh, Richard W. Vuduc

Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2010

Applying the concurrent collections programming model to asynchronous parallel dense linear algebra.

Aparna Chandramowlishwaran, Kathleen Knobe, Richard W. Vuduc

Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2010

Many-Thread Aware Prefetching Mechanisms for GPGPU Applications.

Jaekyu Lee, Nagesh B. Lakshminarayana, Hyesoon Kim, Richard W. Vuduc

Proceedings of the 43rd Annual IEEE/ACM International Symposium on Microarchitecture, 2010

Unconventional wisdom in multicore computing.

Richard W. Vuduc

Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures.

Aparna Chandramowlishwaran, Samuel Williams, Leonid Oliker, Ilya Lashuk, George Biros, Richard W. Vuduc

Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Performance evaluation of concurrent collections on high-performance multicore computing systems.

Aparna Chandramowlishwaran, Kathleen Knobe, Richard W. Vuduc

Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Falcon: fault localization in concurrent programs.

Sangmin Park, Richard W. Vuduc, Mary Jean Harrold

Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering, 2010

2009

Optimization of sparse matrix-vector multiplication on emerging multicore platforms.

Samuel Williams, Leonid Oliker, Richard W. Vuduc, John Shalf, Katherine A. Yelick, James Demmel

Parallel Comput., 2009

Effective Source-to-Source Outlining to Support Whole Program Empirical Optimization.

Chunhua Liao, Daniel J. Quinlan, Richard W. Vuduc, Thomas Panas

Proceedings of the Languages and Compilers for Parallel Computing, 2009

Understanding the design trade-offs among current multicore systems for numerical computations.

Seunghwa Kang, David A. Bader, Richard W. Vuduc

Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

Tuned and wildly asynchronous stencil kernels for hybrid CPU/GPU systems.

Sundaresan Venkatasubramanian, Richard W. Vuduc

Proceedings of the 23rd international conference on Supercomputing, 2009

Direct N-body Kernels for Multicore Platforms.

Nitin Arora, Aashay Shringarpure, Richard W. Vuduc

Proceedings of the ICPP 2009, 2009

2007

When cache blocking of sparse matrix vector multiply works and why.

Rajesh Nishtala, Richard W. Vuduc, James Demmel, Katherine A. Yelick

Appl. Algebra Eng. Commun. Comput., 2007

Techniques for specifying bug patterns.

Daniel J. Quinlan, Richard W. Vuduc, Ghassan Misherghi

Proceedings of the 5th Workshop on Parallel and Distributed Systems: Testing, 2007

POET: Parameterized Optimizations for Empirical Tuning.

Qing Yi, Keith Seymour, Haihang You, Richard W. Vuduc, Daniel J. Quinlan

Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

Communicating Software Architecture using a Unified Single-View Visualization.

Thomas Panas, Thomas Epperly, Daniel J. Quinlan, Andreas Sæbjørnsen, Richard W. Vuduc

Proceedings of the 12th International Conference on Engineering of Complex Computer Systems (ICECCS 2007), 2007

2006

Improving distributed memory applications testing by message perturbation.

Richard W. Vuduc, Martin Schulz, Daniel J. Quinlan, Bronis R. de Supinski, Andreas Sæbjørnsen

Proceedings of the 4th Workshop on Parallel and Distributed Systems: Testing, 2006

Annotating user-defined abstractions for optimization.

Daniel J. Quinlan, Markus Schordan, Richard W. Vuduc, Qing Yi

Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

2005

Self-Adapting Linear Algebra Algorithms and Software.

Richard Carl Demmel, Jack J. Dongarra, Victor Eijkhout, Erika Fuentes, Antoine Petitet, Richard W. Vuduc, R. Clint Whaley, Katherine A. Yelick

Proc. IEEE, 2005

An Extensible Open-Source Compiler Infrastructure for Testing.

Daniel J. Quinlan, Shmuel Ur, Richard W. Vuduc

Proceedings of the Hardware and Software Verification and Testing, 2005

Fast Sparse Matrix-Vector Multiplication by Exploiting Variable Block Structure.

Richard W. Vuduc, Hyun Jin Moon

Proceedings of the High Performance Computing and Communications, 2005

2004

Statistical Models for Empirical Search-Based Performance Tuning.

Richard W. Vuduc, James Demmel, Jeff A. Bilmes

Int. J. High Perform. Comput. Appl., 2004

Sparsity: Optimization Framework for Sparse Matrix Kernels.

Eun-Jin Im, Katherine A. Yelick, Richard W. Vuduc

Int. J. High Perform. Comput. Appl., 2004

Performance Models for Evaluation and Automatic Tuning of Symmetric Sparse Matrix-Vector Multiply.

Benjamin C. Lee, Richard W. Vuduc, James Demmel, Katherine A. Yelick

Proceedings of the 33rd International Conference on Parallel Processing (ICPP 2004), 2004

2003

Memory Hierarchy Optimizations and Performance ounds for Sparse A.

Rich Vuduc, Attila Gyulassy, James Demmel, Katherine A. Yelick

Proceedings of the Computational Science - ICCS 2003, 2003

2002

Performance optimizations and bounds for sparse matrix-vector multiply.

Rich Vuduc, James Demmel, Katherine A. Yelick, Shoaib Kamil, Rajesh Nishtala, Benjamin C. Lee

Proceedings of the 2002 ACM/IEEE conference on Supercomputing, 2002

2001

Statistical Models for Automatic Performance Tuning.

Rich Vuduc, James Demmel, Jeff A. Bilmes

Proceedings of the Computational Science - ICCS 2001, 2001

2000

SWAMI: a framework for collaborative filtering algorithm development and evaluation.

Danyel Fisher, Kris Hildrum, Jason I. Hong, Mark W. Newman, Megan Thomas, Rich Vuduc

Proceedings of the SIGIR 2000: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2000

Code Generators for Automatic Tuning of Numerical Kernels: Experiences with FFTW.

Rich Vuduc, James Demmel

Proceedings of the Semantics, 2000