Richard W. Vuduc

145 papers A* 8A 43B 17C 2Misc 3Journal 39Unranked 31

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	An Asynchronous Distributed-Memory Parallel Algorithm for $k$-Mer Counting. IPDPS Souvadra Hati, Akihiro Hayashi, Richard W. Vuduc
2025	J	`jnl`	An Asynchronous Distributed-Memory Parallel Algorithm for k-mer Counting. CoRR Souvadra Hati, Akihiro Hayashi, Richard W. Vuduc
2025	J	`jnl`	Back to Bits: Extending Shannon's communication performance framework to computing. CoRR Max Hawkins, Richard W. Vuduc
2025	B	`conf`	Brief Announcement: Optimality Conditions for Parallel Communication-Avoiding Matrix Multiplication with Overlapped Communication. SPAA Mikhail Isaev, Srinivas Eswar, Richard W. Vuduc
2025	—	`conf`	Cases When Communicating More is Faster. HOPC@SPAA Souvadra Hati, Richard W. Vuduc
2025	B	`conf`	Fast Active-Set Thresholding Method for Nonnegative Least Squares. IEEE Big Data Benjamin Cobb, Ramakrishnan Kannan, Konstantin Pieper, Piyush Sao, Yongseok Soh, Jee W. Choi, Richard W. Vuduc, Haesun Park
2024	—	`conf`	A Workflow for the Synthesis of Irregular Memory Access Microbenchmarks. MEMSYS Kevin Sheridan, Jered Dominguez-Trujillo, Galen M. Shipman, Patrick Lavin, Christopher Scott, Agustin Vaca Valverde, Richard W. Vuduc, Jeffrey Young
2024	A	`conf`	Asynchronous Distributed-Memory Parallel Algorithms for Influence Maximization. SC Shubhendra Pal Singhal, Souvadra Hati, Jeffrey Young, Vivek Sarkar, Akihiro Hayashi, Richard W. Vuduc
2024	B	`conf`	Clustering and Topic Discovery of Multiway Data via Joint-NCMTF. IEEE Big Data Benjamin Cobb, Ricardo Velasquez, Richard W. Vuduc, Haesun Park
2024	—	`conf`	FAIR Sharing of Data in Autotuning Research (Vision Paper). ICPE (Companion) Jana Hozzová, Jacob O. Tørring, Ben van Werkhoven, David Strelák, Richard W. Vuduc
2024	B	`conf`	On Rank Selection for Nonnegative Matrix Factorization. IEEE Big Data Srinivas Eswar, Koby Hayashi, Benjamin Cobb, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park
2023	A	`conf`	Calculon: a methodology and tool for high-level co-design of systems and large language models. SC Mikhail Isaev, Nic McDonald, Larry Dennison, Richard W. Vuduc
2023	A	`conf`	Distributed-Memory Parallel JointNMF. ICS Srinivas Eswar, Benjamin Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park
2023	—	`conf`	Multifidelity Memory System Simulation in SST. MEMSYS Patrick Lavin, Jeffrey Young, Richard W. Vuduc
2022	A	`conf`	"Smarter" NICs for faster molecular dynamics: a case study. IPDPS Sara Karamati, Clayton Hughes, K. Scott Hemmert, Ryan E. Grant, Whit Schonbein, Scott Levy, Thomas M. Conte, Jeffrey Young, Richard W. Vuduc
2022	J	`jnl`	"Smarter" NICs for faster molecular dynamics: a case study. CoRR Sara Karamati, Clayton Hughes, K. Scott Hemmert, Ryan E. Grant, Whit Schonbein, Scott Levy, Thomas M. Conte, Jeffrey Young, Richard W. Vuduc
2022	J	`jnl`	Critique of "MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization" by SCC Team From Georgia Tech. IEEE Trans. Parallel Distributed Syst. Nicole Prindle, Ali Kazmi, Aman Jain, Albert Chen, Marissa Sorkin, Sudhanshu Agarwal, Richard W. Vuduc, Vijay Thakkar
2022	A	`conf`	Exaflops Biomedical Knowledge Graph Analytics. SC 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
2022	J	`jnl`	Jack, The Autotuner. Comput. Sci. Eng. Richard W. Vuduc
2022	A*	`conf`	Nimble GNN Embedding with Tensor-Train Decomposition. KDD Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc
2022	J	`jnl`	Nimble GNN Embedding with Tensor-Train Decomposition. CoRR Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc
2022	B	`conf`	ParaGraph: An application-simulator interface and toolkit for hardware-software co-design. ICPP Mikhail Isaev, Nic McDonald, Jeffrey Young, Richard W. Vuduc
2021	—	`conf`	An interface for multidimensional arrays in Arkouda. HPEC Mitesh Kothari, Richard W. Vuduc
2021	—	`conf`	CUP: Cluster Pruning for Compressing Deep Neural Networks. IEEE BigData Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun
2021	J	`jnl`	Communication-avoiding kernel ridge regression on parallel and distributed systems. CCF Trans. High Perform. Comput. Yang You, Jingyue Huang, Cho-Jui Hsieh, Richard W. Vuduc, James Demmel
2021	—	`conf`	Is it Nemo or Dory? Fast and accurate object detection for IoT and edge devices. IOT Sudhanshu Agarwal, Richard W. Vuduc
2021	J	`jnl`	ORCA: Outlier detection and Robust Clustering for Attributed graphs. J. Glob. Optim. Srinivas Eswar, Ramakrishnan Kannan, Richard W. Vuduc, Haesun Park
2021	—	`conf`	Online model swapping for architectural simulation. CF Patrick Lavin, Jeffrey Young, Richard W. Vuduc, Jonathan Beard
2021	A	`conf`	Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters. HPDC Piyush Sao, Hao Lu, Ramakrishnan Kannan, Vijay Thakkar, Richard W. Vuduc, Thomas E. Potok
2020	B	`conf`	A supernodal all-pairs shortest path algorithm. PPoPP Piyush Sao, Ramakrishnan Kannan, Prasun Gera, Richard W. Vuduc
2020	J	`jnl`	Automatic Generation of High-Performance FFT Kernels on Arm and X86 CPUs. IEEE Trans. Parallel Distributed Syst. Zhihao Li, Haipeng Jia, Yunquan Zhang, Tun Chen, Liang Yuan, Richard W. Vuduc
2020	A	`conf`	Distributed-memory parallel symmetric nonnegative matrix factorization. SC Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Richard W. Vuduc, Haesun Park
2020	—	`conf`	Evaluating Gather and Scatter Performance on CPUs and GPUs. MEMSYS Patrick Lavin, Jeffrey Young, Richard W. Vuduc, E. Jason Riedy, Aaron Vose, Daniel Ernst
2020	—	`conf`	Intrepydd: performance, productivity, and portability for data science application kernels. Onward! Tong Zhou, Jun Shirako, Anirudh Jain, Sriseshan Srikanth, Thomas M. Conte, Richard W. Vuduc, Vivek Sarkar
2020	A	`conf`	Max orientation coverage: efficient path planning to avoid collisions in the CNC milling of 3D objects. IROS Xin Chen, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc, Liting Hu
2020	J	`jnl`	Programming Strategies for Irregular Algorithms on the Emu Chick. ACM Trans. Parallel Comput. 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
2020	A	`conf`	Scalable knowledge graph analytics at 136 petaflop/s. SC Ramakrishnan Kannan, Piyush Sao, Hao Lu, Drahomira Herrmannova, Vijay Thakkar, Robert M. Patton, Richard W. Vuduc, Thomas E. Potok
2019	J	`jnl`	A communication-avoiding 3D algorithm for sparse LU factorization on heterogeneous systems. J. Parallel Distributed Comput. Piyush Sao, Xiaoye S. Li, Richard W. Vuduc
2019	A	`conf`	A communication-avoiding 3D sparse triangular solver. ICS Piyush Sao, Ramakrishnan Kannan, Xiaoye Sherry Li, Richard W. Vuduc
2019	J	`jnl`	A microbenchmark characterization of the Emu chick. Parallel Comput. Jeffrey S. Young, Eric R. Hein, Srinivas Eswar, Patrick Lavin, Jiajia Li, E. Jason Riedy, Richard W. Vuduc, Tom Conte
2019	A	`conf`	Adaptive Deep Path: Efficient Coverage of a Known Environment under Various Configurations. IROS Xin Chen, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc
2019	J	`jnl`	CUP: Cluster Pruning for Compressing Deep Neural Networks. CoRR Rahul Duggal, Cao Xiao, Richard W. Vuduc, Jimeng Sun
2019	A	`conf`	Efficient and effective sparse tensor reordering. ICS Jiajia Li, Bora Uçar, Ümit V. Çatalyürek, Jimeng Sun, Kevin J. Barker, Richard W. Vuduc
2019	B	`conf`	Faster parallel collision detection at high resolution for CNC milling applications. ICPP Xin Chen, Dmytro Konobrytskyi, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc
2019	A	`conf`	Load-Balanced Sparse MTTKRP on GPUs. IPDPS Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Richard W. Vuduc, P. Sadayappan
2019	J	`jnl`	Load-Balanced Sparse MTTKRP on GPUs. CoRR Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Richard W. Vuduc, P. Sadayappan
2019	J	`jnl`	Optimizing sparse tensor times matrix on GPUs. J. Parallel Distributed Comput. Yuchen Ma, Jiajia Li, Xiaolong Wu, Chenggang Yan, Jimeng Sun, Richard W. Vuduc
2019	—	`conf`	Self-stabilizing Connected Components. FTXS@SC Piyush Sao, Christian Engelmann, Srinivas Eswar, Oded Green, Richard W. Vuduc
2019	J	`jnl`	Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization. J. Biomed. Informatics Ioakeim Perros, Evangelos E. Papalexakis, Richard W. Vuduc, Elizabeth Searles, Jimeng Sun
2018	A	`conf`	A Communication-Avoiding 3D LU Factorization Algorithm for Sparse Matrices. IPDPS Piyush Sao, Xiaoye Sherry Li, Richard W. Vuduc
2018	J	`jnl`	A Microbenchmark Characterization of the Emu Chick. CoRR Jeffrey Young, Eric R. Hein, Srinivas Eswar, Patrick Lavin, Jiajia Li, E. Jason Riedy, Richard W. Vuduc, Tom Conte
2018	J	`jnl`	A Simple Methodology for Computing Families of Algorithms. CoRR Devangi N. Parikh, Margaret E. Myers, Richard W. Vuduc, Robert A. van de Geijn
2018	A	`conf`	Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems. ICS Yang You, James Demmel, Cho-Jui Hsieh, Richard W. Vuduc
2018	J	`jnl`	Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems. CoRR Yang You, James Demmel, Cho-Jui Hsieh, Richard W. Vuduc
2018	A	`conf`	An Energy-Efficient Single-Source Shortest Path Algorithm. IPDPS Sara Karamati, Jeffrey S. Young, Richard W. Vuduc
2018	—	`conf`	An Initial Characterization of the Emu Chick. IPDPS Workshops Eric R. Hein, Tom Conte, Jeffrey Young, Srinivas Eswar, Jiajia Li, Patrick Lavin, Richard W. Vuduc, E. Jason Riedy
2018	J	`jnl`	Autotuning in High-Performance Computing Applications. Proc. IEEE Prasanna Balaprakash, Jack J. Dongarra, Todd Gamblin, Mary W. Hall, Jeffrey K. Hollingsworth, Boyana Norris, Richard W. Vuduc
2018	A	`conf`	HiCOO: hierarchical storage of sparse tensors. SC Jiajia Li, Jimeng Sun, Richard W. Vuduc
2018	A*	`conf`	SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping. KDD Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun
2018	J	`jnl`	SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping. CoRR Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun
2017	A*	`conf`	Efficient Communications in Training Large Scale Neural Networks. ACM Multimedia (Thematic Workshops) Yiyang Zhao, Linnan Wang, Wei Wu, George Bosilca, Richard W. Vuduc, Jinmian Ye, Wenqi Tang, Zenglin Xu
2017	—	`conf`	HPPAC Workshop Introduction. IPDPS Workshops Shuaiwen Leon Song, Richard W. Vuduc
2017	A	`conf`	Model-Driven Sparse CP Decomposition for Higher-Order Tensors. IPDPS Jiajia Li, Jee Choi, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc
2017	J	`jnl`	Modeling the Power Variability of Core Speed Scaling on Homogeneous Multicore Systems. Sci. Program. Zhihui Du, Rong Ge, Victor W. Lee, Richard W. Vuduc, David A. Bader, Ligang He
2017	A	`conf`	Polyadic Regression and its Application to Chemogenomics. SDM Ioakeim Perros, Fei Wang, Ping Zhang, Peter B. Walker, Richard W. Vuduc, Jyotishman Pathak, Jimeng Sun
2017	A*	`conf`	SPARTan: Scalable PARAFAC2 for Large & Sparse Data. KDD Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun
2017	J	`jnl`	SPARTan: Scalable PARAFAC2 for Large & Sparse Data. CoRR Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun
2016	—	`conf`	A Self-Correcting Connected Components Algorithm. FTXS@HPDC Piyush Sao, Oded Green, Chirag Jain, Richard W. Vuduc
2016	—	`conf`	Analyzing the Energy Efficiency of the Fast Multipole Method Using a DVFS-Aware Energy Model. IPDPS Workshops Jeewhan Choi, Richard W. Vuduc
2016	A	`conf`	Hybrid Dynamic Trees for Extreme-Resolution 3D Sparse Data Modeling. IPDPS Mohammad M. Hossain, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc
2016	—	`conf`	Optimizing Sparse Tensor Times Matrix on Multi-core and Many-Core Architectures. IA3@SC Jiajia Li, Yuchen Ma, Chenggang Yan, Richard W. Vuduc
2016	J	`jnl`	Sparse Hierarchical Tucker Factorization and its Application to Healthcare. CoRR Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun
2016	J	`jnl`	Wanted: Floating-Point Add Round-off Error instruction. CoRR Marat Dukhan, Richard W. Vuduc, E. Jason Riedy
2015	—	`conf`	A GPU-parallel construction of volumetric tree. IA3@SC Mohammad M. Hossain, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc
2015	A	`conf`	A Sparse Direct Solver for Distributed Memory Xeon Phi-Accelerated Systems. IPDPS Piyush Sao, Xing Liu, Richard W. Vuduc, Xiaoye S. Li
2015	A	`conf`	An input-adaptive and in-place approach to dense tensor-times-matrix multiply. SC Jiajia Li, Casey Battaglino, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc
2015	B	`conf`	Branch-Avoiding Graph Algorithms. SPAA Oded Green, Marat Dukhan, Richard W. Vuduc
2015	A	`conf`	CA-SVM: Communication-Avoiding Support Vector Machines on Distributed Systems. IPDPS Yang You, James Demmel, Kenneth Czechowski, Le Song, Richard W. Vuduc
2015	A*	`conf`	Sparse Hierarchical Tucker Factorization and Its Application to Healthcare. ICDM Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun
2015	J	`jnl`	UNICORN: a unified approach for localizing non-deadlock concurrency bugs. Softw. Test. Verification Reliab. Sangmin Park, Richard W. Vuduc, Mary Jean Harrold
2014	—	`conf`	A CPU: GPU Hybrid Implementation and Model-Driven Scheduling of the Fast Multipole Method. GPGPU@ASPLOS Jeewhan Choi, Aparna Chandramowlishwaran, Kamesh Madduri, Richard W. Vuduc
2014	—	`conf`	A Distributed CPU-GPU Sparse Direct Solver. Euro-Par Piyush Sao, Richard W. Vuduc, Xiaoye Sherry Li
2014	J	`jnl`	A distributed kernel summation framework for general-dimension machine learning. Stat. Anal. Data Min. Dongryeol Lee, Piyush Sao, Richard W. Vuduc, Alexander G. Gray
2014	A	`conf`	Algorithmic Time, Energy, and Power on Candidate HPC Compute Building Blocks. IPDPS Jee W. Choi, Marat Dukhan, Xing Liu, Richard W. Vuduc
2014	J	`jnl`	Branch-Avoiding Graph Algorithms. CoRR Oded Green, Marat Dukhan, Richard W. Vuduc
2014	A*	`conf`	Improving the energy efficiency of Big Cores. ISCA Kenneth Czechowski, Victor W. Lee, Ed Grochowski, Ronny Ronen, Ronak Singhal, Richard W. Vuduc, Pradeep Dubey
2013	A	`conf`	A Roofline Model of Energy. IPDPS Jeewhan Choi, Daniel Bedard, Robert J. Fowler, Richard W. Vuduc
2013	A	`conf`	A Theoretical Framework for Algorithm-Architecture Co-design. IPDPS Kenneth Czechowski, Richard W. Vuduc
2013	B	`ed.`	ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP '13, Shenzhen, China, February 23-27, 2013 PPoPP Alex Nicolau, Xiaowei Shen, Saman P. Amarasinghe, Richard W. Vuduc
2013	A	`conf`	Griffin: grouping suspicious memory-access patterns to improve understanding of concurrency bugs. ISSTA Sangmin Park, Mary Jean Harrold, Richard W. Vuduc
2013	J	`jnl`	How much (execution) time and energy does my algorithm cost? XRDS Jeewhan Choi, Richard W. Vuduc
2013	J	`jnl`	Introduction for Special Issue on Autotuning. Int. J. High Perform. Comput. Appl. Leonid Oliker, Richard W. Vuduc
2013	—	`conf`	Methods for High-Throughput Computation of Elementary Functions. PPAM (1) Marat Dukhan, Richard W. Vuduc
2013	—	`conf`	Self-stabilizing iterative solvers. ScalA@SC Piyush Sao, Richard W. Vuduc
2013	J	`jnl`	Sustainable Software Development for Next-Gen Sequencing (NGS) Bioinformatics on Emerging Platforms. CoRR Shel Swenson, Yogesh Simmhan, Viktor K. Prasanna, Manish Parashar, E. Jason Riedy, David A. Bader, Richard W. Vuduc
2012	A	`conf`	A Distributed Kernel Summation Framework for General-Dimension Machine Learning. SDM Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
2012	B	`conf`	A New Method for Program Inversion. CC Cong Hou, George Vulov, Daniel J. Quinlan, David R. Jefferson, Richard Fujimoto, Richard W. Vuduc
2012	A	`conf`	A Unified Approach for Localizing Non-deadlock Concurrency Bugs. ICST Sangmin Park, Richard W. Vuduc, Mary Jean Harrold
2012	J	`jnl`	A massively parallel adaptive fast multipole method on heterogeneous architectures. Commun. ACM Ilya Lashuk, Aparna Chandramowlishwaran, Harper Langston, Tuan-Anh Nguyen, Rahul S. Sampath, Aashay Shringarpure, Richard W. Vuduc, Lexing Ying, Denis Zorin, George Biros
2012	B	`conf`	A performance analysis framework for identifying potential benefits in GPGPU applications. PPoPP Jaewoong Sim, Aniruddha Dasgupta, Hyesoon Kim, Richard W. Vuduc
2012	A*	`conf`	A type theory for probability density functions. POPL Sooraj Bhat, Ashish Agarwal, Richard W. Vuduc, Alexander G. Gray
2012	B	`conf`	Brief announcement: towards a communication optimal fast multipole method and its implications at exascale. SPAA Aparna Chandramowlishwaran, Jeewhan Choi, Kamesh Madduri, Richard W. Vuduc
2012	—	`conf`	Communication-Optimal Parallel N-body Solvers. IPDPS Workshops Aparna Chandramowlishwaran, Richard W. Vuduc
2012	—	`conf`	Courses in High-performance Computing for Scientists and Engineers. IPDPS Workshops Richard W. Vuduc, Kenneth Czechowski, Aparna Chandramowlishwaran, Jeewhan Choi
2012	—	`conf`	Modeling and Analysis for Performance and Power. IPDPS Workshops Jeewhan Choi, Richard W. Vuduc
2012	A	`conf`	On the communication complexity of 3D FFTs and its implications for Exascale. ICS Kenneth Czechowski, Casey Battaglino, Chris McClanahan, Kartik Iyer, P.-K. Yeung, Richard W. Vuduc
2012	A	`conf`	Optimizing the computation of n-point correlations on large-scale astronomical data. SC William B. March, Kenneth Czechowski, Marat Dukhan, Thomas Benson, Dongryeol Lee, Andrew J. Connolly, Richard W. Vuduc, Edmond Chow, Alexander G. Gray
2012	—	`book`	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
2012	C	`conf`	Synthesizing Loops for Program Inversion. RC Cong Hou, Daniel J. Quinlan, David R. Jefferson, Richard Fujimoto, Richard W. Vuduc
2012	—	`conf`	Toward a Theory of Algorithm-Architecture Co-design. VECPAR Richard W. Vuduc, Kenneth Czechowski
2012	J	`jnl`	When Prefetching Works, When It Doesn't, and Why. ACM Trans. Archit. Code Optim. Jaekyu Lee, Hyesoon Kim, Richard W. Vuduc
2011	—	`ch.`	Autotuning. Encyclopedia of Parallel Computing Richard W. Vuduc
2011	—	`conf`	Balance Principles for Algorithm-Architecture Co-Design. HotPar Kent Czechowski, Casey Battaglino, Chris McClanahan, Aparna Chandramowlishwaran, Richard W. Vuduc
2011	Misc	`conf`	The Backstroke framework for source level reverse computation applied to parallel discrete event simulation. WSC George Vulov, Cong Hou, Richard W. Vuduc, Richard Fujimoto, Daniel J. Quinlan, David R. Jefferson
2011	Misc	`conf`	The Sixth International Workshop on Automatic Performance Tuning (iWAPT2011). ICCS Takahiro Katagiri, Richard W. Vuduc
2011	J	`jnl`	What GPU Computing Means for High-End Systems. IEEE Micro Richard W. Vuduc, Kent Czechowski
2010	B	`conf`	Applying the concurrent collections programming model to asynchronous parallel dense linear algebra. PPoPP Aparna Chandramowlishwaran, Kathleen Knobe, Richard W. Vuduc
2010	A	`conf`	Diagnosis, Tuning, and Redesign for Multicore Performance: A Case Study of the Fast Multipole Method. SC Aparna Chandramowlishwaran, Kamesh Madduri, Richard W. Vuduc
2010	—	`conf`	Falcon: fault localization in concurrent programs. ICSE (1) Sangmin Park, Richard W. Vuduc, Mary Jean Harrold
2010	A*	`conf`	Many-Thread Aware Prefetching Mechanisms for GPGPU Applications. MICRO Jaekyu Lee, Nagesh B. Lakshminarayana, Hyesoon Kim, Richard W. Vuduc
2010	B	`conf`	Model-driven autotuning of sparse matrix-vector multiply on GPUs. PPoPP Jeewhan Choi, Amik Singh, Richard W. Vuduc
2010	A	`conf`	Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures. IPDPS Aparna Chandramowlishwaran, Samuel Williams, Leonid Oliker, Ilya Lashuk, George Biros, Richard W. Vuduc
2010	A	`conf`	Performance evaluation of concurrent collections on high-performance multicore computing systems. IPDPS Aparna Chandramowlishwaran, Kathleen Knobe, Richard W. Vuduc
2010	A	`conf`	Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures. SC 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
2010	Misc	`conf`	Toward interactive statistical modeling. ICCS Sooraj Bhat, Ashish Agarwal, Alexander G. Gray, Richard W. Vuduc
2010	A	`conf`	Unconventional wisdom in multicore computing. IPDPS Richard W. Vuduc
2009	A	`conf`	A massively parallel adaptive fast-multipole method on heterogeneous architectures. SC Ilya Lashuk, Aparna Chandramowlishwaran, Harper Langston, Tuan-Anh Nguyen, Rahul S. Sampath, Aashay Shringarpure, Richard W. Vuduc, Lexing Ying, Denis Zorin, George Biros
2009	B	`conf`	Direct N-body Kernels for Multicore Platforms. ICPP Nitin Arora, Aashay Shringarpure, Richard W. Vuduc
2009	—	`conf`	Effective Source-to-Source Outlining to Support Whole Program Empirical Optimization. LCPC Chunhua Liao, Daniel J. Quinlan, Richard W. Vuduc, Thomas Panas
2009	J	`jnl`	Optimization of sparse matrix-vector multiplication on emerging multicore platforms. Parallel Comput. Samuel Williams, Leonid Oliker, Richard W. Vuduc, John Shalf, Katherine A. Yelick, James Demmel
2009	A	`conf`	Tuned and wildly asynchronous stencil kernels for hybrid CPU/GPU systems. ICS Sundaresan Venkatasubramanian, Richard W. Vuduc
2009	A	`conf`	Understanding the design trade-offs among current multicore systems for numerical computations. IPDPS Seunghwa Kang, David A. Bader, Richard W. Vuduc
2007	B	`conf`	Communicating Software Architecture using a Unified Single-View Visualization. ICECCS Thomas Panas, Thomas Epperly, Daniel J. Quinlan, Andreas Sæbjørnsen, Richard W. Vuduc
2007	A	`conf`	Optimization of sparse matrix-vector multiplication on emerging multicore platforms. SC Samuel Williams, Leonid Oliker, Richard W. Vuduc, John Shalf, Katherine A. Yelick, James Demmel
2007	A	`conf`	POET: Parameterized Optimizations for Empirical Tuning. IPDPS Qing Yi, Keith Seymour, Haihang You, Richard W. Vuduc, Daniel J. Quinlan
2007	—	`conf`	Techniques for specifying bug patterns. PADTAD Daniel J. Quinlan, Richard W. Vuduc, Ghassan Misherghi
2007	J	`jnl`	When cache blocking of sparse matrix vector multiply works and why. Appl. Algebra Eng. Commun. Comput. Rajesh Nishtala, Richard W. Vuduc, James Demmel, Katherine A. Yelick
2006	A	`conf`	Annotating user-defined abstractions for optimization. IPDPS Daniel J. Quinlan, Markus Schordan, Richard W. Vuduc, Qing Yi
2006	—	`conf`	Improving distributed memory applications testing by message perturbation. PADTAD Richard W. Vuduc, Martin Schulz, Daniel J. Quinlan, Bronis R. de Supinski, Andreas Sæbjørnsen
2005	—	`conf`	An Extensible Open-Source Compiler Infrastructure for Testing. Haifa Verification Conference Daniel J. Quinlan, Shmuel Ur, Richard W. Vuduc
2005	C	`conf`	Fast Sparse Matrix-Vector Multiplication by Exploiting Variable Block Structure. HPCC Richard W. Vuduc, Hyun Jin Moon
2005	J	`jnl`	Self-Adapting Linear Algebra Algorithms and Software. Proc. IEEE Richard Carl Demmel, Jack J. Dongarra, Victor Eijkhout, Erika Fuentes, Antoine Petitet, Richard W. Vuduc, R. Clint Whaley, Katherine A. Yelick
2004	B	`conf`	Performance Models for Evaluation and Automatic Tuning of Symmetric Sparse Matrix-Vector Multiply. ICPP Benjamin C. Lee, Richard W. Vuduc, James Demmel, Katherine A. Yelick
2004	J	`jnl`	Sparsity: Optimization Framework for Sparse Matrix Kernels. Int. J. High Perform. Comput. Appl. Eun-Jin Im, Katherine A. Yelick, Richard W. Vuduc
2004	J	`jnl`	Statistical Models for Empirical Search-Based Performance Tuning. Int. J. High Perform. Comput. Appl. Richard W. Vuduc, James Demmel, Jeff A. Bilmes