Richard W. Vuduc

ORCID

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 61

Top Venues

CoRR

IPDPS

ICS

Publications

Mikhail Isaev, Nic McDonald, Larry Dennison, Richard W. Vuduc
Calculon: a methodology and tool for high-level co-design of systems and large language models. SC (2023)
Patrick Lavin, Jeffrey Young, Richard W. Vuduc
Multifidelity Memory System Simulation in SST. MEMSYS (2023)
Srinivas Eswar, Benjamin Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park
Distributed-Memory Parallel JointNMF. ICS (2023)
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
Exaflops Biomedical Knowledge Graph Analytics. SC (2022)
Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc
Nimble GNN Embedding with Tensor-Train Decomposition. KDD (2022)
Richard W. Vuduc
Jack, The Autotuner. Comput. Sci. Eng. 24 (4) (2022)
Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc
Nimble GNN Embedding with Tensor-Train Decomposition. CoRR (2022)
Sara Karamati, Clayton Hughes, K. Scott Hemmert, Ryan E. Grant, Whit Schonbein, Scott Levy, Thomas M. Conte, Jeffrey Young, Richard W. Vuduc
"Smarter" NICs for faster molecular dynamics: a case study. IPDPS (2022)
Nicole Prindle, Ali Kazmi, Aman Jain, Albert Chen, Marissa Sorkin, Sudhanshu Agarwal, Richard W. Vuduc, Vijay Thakkar
Critique of "MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization" by SCC Team From Georgia Tech. IEEE Trans. Parallel Distributed Syst. 33 (9) (2022)
Sara Karamati, Clayton Hughes, K. Scott Hemmert, Ryan E. Grant, Whit Schonbein, Scott Levy, Thomas M. Conte, Jeffrey Young, Richard W. Vuduc
"Smarter" NICs for faster molecular dynamics: a case study. CoRR (2022)
Mitesh Kothari, Richard W. Vuduc
An interface for multidimensional arrays in Arkouda. HPEC (2021)
Yang You, Jingyue Huang, Cho-Jui Hsieh, Richard W. Vuduc, James Demmel
Communication-avoiding kernel ridge regression on parallel and distributed systems. CCF Trans. High Perform. Comput. 3 (3) (2021)
Patrick Lavin, Jeffrey Young, Richard W. Vuduc, Jonathan Beard
Online model swapping for architectural simulation. CF (2021)
Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun
CUP: Cluster Pruning for Compressing Deep Neural Networks. IEEE BigData (2021)
Piyush Sao, Hao Lu, Ramakrishnan Kannan, Vijay Thakkar, Richard W. Vuduc, Thomas E. Potok
Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters. HPDC (2021)
Sudhanshu Agarwal, Richard W. Vuduc
Is it Nemo or Dory? Fast and accurate object detection for IoT and edge devices. IOT (2021)
Srinivas Eswar, Ramakrishnan Kannan, Richard W. Vuduc, Haesun Park
ORCA: Outlier detection and Robust Clustering for Attributed graphs. J. Glob. Optim. 81 (4) (2021)
Tong Zhou, Jun Shirako, Anirudh Jain, Sriseshan Srikanth, Thomas M. Conte, Richard W. Vuduc, Vivek Sarkar
Intrepydd: performance, productivity, and portability for data science application kernels. Onward! (2020)
Zhihao Li, Haipeng Jia, Yunquan Zhang, Tun Chen, Liang Yuan, Richard W. Vuduc
Automatic Generation of High-Performance FFT Kernels on Arm and X86 CPUs. IEEE Trans. Parallel Distributed Syst. 31 (8) (2020)
Xin Chen, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc, Liting Hu
Max orientation coverage: efficient path planning to avoid collisions in the CNC milling of 3D objects. IROS (2020)
Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Richard W. Vuduc, Haesun Park
Distributed-memory parallel symmetric nonnegative matrix factorization. SC (2020)
Piyush Sao, Ramakrishnan Kannan, Prasun Gera, Richard W. Vuduc
A supernodal all-pairs shortest path algorithm. PPoPP (2020)
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
Programming Strategies for Irregular Algorithms on the Emu Chick. ACM Trans. Parallel Comput. 7 (4) (2020)
Patrick Lavin, Jeffrey Young, Richard W. Vuduc, W. Jason Riedy, Aaron Vose, Daniel Ernst
Evaluating Gather and Scatter Performance on CPUs and GPUs. MEMSYS (2020)
Ramakrishnan Kannan, Piyush Sao, Hao Lu, Drahomira Herrmannova, Vijay Thakkar, Robert M. Patton, Richard W. Vuduc, Thomas E. Potok
Scalable knowledge graph analytics at 136 petaflop/s. SC (2020)
Piyush Sao, Xiaoye S. Li, Richard W. Vuduc
A communication-avoiding 3D algorithm for sparse LU factorization on heterogeneous systems. J. Parallel Distributed Comput. 131 (2019)
Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Richard W. Vuduc, P. Sadayappan
Load-Balanced Sparse MTTKRP on GPUs. CoRR (2019)
Piyush Sao, Ramakrishnan Kannan, Xiaoye Sherry Li, Richard W. Vuduc
A communication-avoiding 3D sparse triangular solver. ICS (2019)
Ioakeim Perros, Evangelos E. Papalexakis, Richard W. Vuduc, Elizabeth Searles, Jimeng Sun
Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization. J. Biomed. Informatics 93 (2019)
Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Richard W. Vuduc, P. Sadayappan
Load-Balanced Sparse MTTKRP on GPUs. IPDPS (2019)
Piyush Sao, Christian Engelmann, Srinivas Eswar, Oded Green, Richard W. Vuduc
Self-stabilizing Connected Components. FTXS@SC (2019)
Jiajia Li, Bora Uçar, Ümit V. Çatalyürek, Jimeng Sun, Kevin J. Barker, Richard W. Vuduc
Efficient and effective sparse tensor reordering. ICS (2019)
Xin Chen, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc
Adaptive Deep Path: Efficient Coverage of a Known Environment under Various Configurations. IROS (2019)
Yuchen Ma, Jiajia Li, Xiaolong Wu, Chenggang Yan, Jimeng Sun, Richard W. Vuduc
Optimizing sparse tensor times matrix on GPUs. J. Parallel Distributed Comput. 129 (2019)
Xin Chen, Dmytro Konobrytskyi, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc
Faster parallel collision detection at high resolution for CNC milling applications. ICPP (2019)
Jeffrey S. Young, Eric R. Hein, Srinivas Eswar, Patrick Lavin, Jiajia Li, E. Jason Riedy, Richard W. Vuduc, Tom Conte
A microbenchmark characterization of the Emu chick. Parallel Comput. 87 (2019)
Rahul Duggal, Cao Xiao, Richard W. Vuduc, Jimeng Sun
CUP: Cluster Pruning for Compressing Deep Neural Networks. CoRR (2019)
Devangi N. Parikh, Margaret E. Myers, Richard W. Vuduc, Robert A. van de Geijn
A Simple Methodology for Computing Families of Algorithms. CoRR (2018)
Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping. KDD (2018)
Sara Karamati, Jeffrey S. Young, Richard W. Vuduc
An Energy-Efficient Single-Source Shortest Path Algorithm. IPDPS (2018)
Eric R. Hein, Tom Conte, Jeffrey Young, Srinivas Eswar, Jiajia Li, Patrick Lavin, Richard W. Vuduc, E. Jason Riedy
An Initial Characterization of the Emu Chick. IPDPS Workshops (2018)
Jeffrey Young, Eric R. Hein, Srinivas Eswar, Patrick Lavin, Jiajia Li, E. Jason Riedy, Richard W. Vuduc, Tom Conte
A Microbenchmark Characterization of the Emu Chick. CoRR (2018)
Jiajia Li, Jimeng Sun, Richard W. Vuduc
HiCOO: hierarchical storage of sparse tensors. SC (2018)
Yang You, James Demmel, Cho-Jui Hsieh, Richard W. Vuduc
Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems. CoRR (2018)
Piyush Sao, Xiaoye Sherry Li, Richard W. Vuduc
A Communication-Avoiding 3D LU Factorization Algorithm for Sparse Matrices. IPDPS (2018)
Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping. CoRR (2018)
Yang You, James Demmel, Cho-Jui Hsieh, Richard W. Vuduc
Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems. ICS (2018)
Prasanna Balaprakash, Jack J. Dongarra, Todd Gamblin, Mary W. Hall, Jeffrey K. Hollingsworth, Boyana Norris, Richard W. Vuduc
Autotuning in High-Performance Computing Applications. Proc. IEEE 106 (11) (2018)
Zhihui Du, Rong Ge, Victor W. Lee, Richard W. Vuduc, David A. Bader, Ligang He
Modeling the Power Variability of Core Speed Scaling on Homogeneous Multicore Systems. Sci. Program. 2017 (2017)
Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun
SPARTan: Scalable PARAFAC2 for Large & Sparse Data. CoRR (2017)
Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun
SPARTan: Scalable PARAFAC2 for Large & Sparse Data. KDD (2017)
Yiyang Zhao, Linnan Wang, Wei Wu, George Bosilca, Richard W. Vuduc, Jinmian Ye, Wenqi Tang, Zenglin Xu
Efficient Communications in Training Large Scale Neural Networks. ACM Multimedia (Thematic Workshops) (2017)
Jiajia Li, Jee Choi, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc
Model-Driven Sparse CP Decomposition for Higher-Order Tensors. IPDPS (2017)
Ioakeim Perros, Fei Wang, Ping Zhang, Peter B. Walker, Richard W. Vuduc, Jyotishman Pathak, Jimeng Sun
Polyadic Regression and its Application to Chemogenomics. SDM (2017)
Shuaiwen Leon Song, Richard W. Vuduc
HPPAC Workshop Introduction. IPDPS Workshops (2017)
Mohammad M. Hossain, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc
Hybrid Dynamic Trees for Extreme-Resolution 3D Sparse Data Modeling. IPDPS (2016)
JeeWhan Choi, Richard W. Vuduc
Analyzing the Energy Efficiency of the Fast Multipole Method Using a DVFS-Aware Energy Model. IPDPS Workshops (2016)
Marat Dukhan, Richard W. Vuduc, E. Jason Riedy
Wanted: Floating-Point Add Round-off Error instruction. CoRR (2016)
Piyush Sao, Oded Green, Chirag Jain, Richard W. Vuduc
A Self-Correcting Connected Components Algorithm. FTXS@HPDC (2016)
Jiajia Li, Yuchen Ma, Chenggang Yan, Richard W. Vuduc
Optimizing Sparse Tensor Times Matrix on Multi-core and Many-Core Architectures. IA3@SC (2016)
Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun
Sparse Hierarchical Tucker Factorization and its Application to Healthcare. CoRR (2016)
Yang You, James Demmel, Kenneth Czechowski, Le Song, Richard W. Vuduc
CA-SVM: Communication-Avoiding Support Vector Machines on Distributed Systems. IPDPS (2015)
Jiajia Li, Casey Battaglino, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc
An input-adaptive and in-place approach to dense tensor-times-matrix multiply. SC (2015)
Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun
Sparse Hierarchical Tucker Factorization and Its Application to Healthcare. ICDM (2015)
Oded Green, Marat Dukhan, Richard W. Vuduc
Branch-Avoiding Graph Algorithms. SPAA (2015)
Sangmin Park, Richard W. Vuduc, Mary Jean Harrold
UNICORN: a unified approach for localizing non-deadlock concurrency bugs. Softw. Test. Verification Reliab. 25 (3) (2015)
Mohammad M. Hossain, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc
A GPU-parallel construction of volumetric tree. IA3@SC (2015)
Piyush Sao, Xing Liu, Richard W. Vuduc, Xiaoye S. Li
A Sparse Direct Solver for Distributed Memory Xeon Phi-Accelerated Systems. IPDPS (2015)
Kenneth Czechowski, Victor W. Lee, Ed Grochowski, Ronny Ronen, Ronak Singhal, Richard W. Vuduc, Pradeep Dubey
Improving the energy efficiency of Big Cores. ISCA (2014)
Jee W. Choi, Marat Dukhan, Xing Liu, Richard W. Vuduc
Algorithmic Time, Energy, and Power on Candidate HPC Compute Building Blocks. IPDPS (2014)
Dongryeol Lee, Piyush Sao, Richard W. Vuduc, Alexander G. Gray
A distributed kernel summation framework for general-dimension machine learning. Stat. Anal. Data Min. 7 (1) (2014)
JeeWhan Choi, Aparna Chandramowlishwaran, Kamesh Madduri, Richard W. Vuduc
A CPU: GPU Hybrid Implementation and Model-Driven Scheduling of the Fast Multipole Method. GPGPU@ASPLOS (2014)
Oded Green, Marat Dukhan, Richard W. Vuduc
Branch-Avoiding Graph Algorithms. CoRR (2014)
Piyush Sao, Richard W. Vuduc, Xiaoye Sherry Li
A Distributed CPU-GPU Sparse Direct Solver. Euro-Par (2014)
Marat Dukhan, Richard W. Vuduc
Methods for High-Throughput Computation of Elementary Functions. PPAM (1) (2013)
Leonid Oliker, Richard W. Vuduc
Introduction for Special Issue on Autotuning. Int. J. High Perform. Comput. Appl. 27 (4) (2013)
JeeWhan Choi, Richard W. Vuduc
How much (execution) time and energy does my algorithm cost? XRDS 19 (3) (2013)
Sangmin Park, Mary Jean Harrold, Richard W. Vuduc
Griffin: grouping suspicious memory-access patterns to improve understanding of concurrency bugs. ISSTA (2013)
Piyush Sao, Richard W. Vuduc
Self-stabilizing iterative solvers. ScalA@SC (2013)
JeeWhan Choi, Daniel Bedard, Robert J. Fowler, Richard W. Vuduc
A Roofline Model of Energy. IPDPS (2013)
Kenneth Czechowski, Richard W. Vuduc
A Theoretical Framework for Algorithm-Architecture Co-design. IPDPS (2013)
Shel Swenson, Yogesh Simmhan, Viktor K. Prasanna, Manish Parashar, E. Jason Riedy, David A. Bader, Richard W. Vuduc
Sustainable Software Development for Next-Gen Sequencing (NGS) Bioinformatics on Emerging Platforms. CoRR (2013)
Kenneth Czechowski, Casey Battaglino, Chris McClanahan, Kartik Iyer, P.-K. Yeung, Richard W. Vuduc
On the communication complexity of 3D FFTs and its implications for Exascale. ICS (2012)
Aparna Chandramowlishwaran, JeeWhan Choi, Kamesh Madduri, Richard W. Vuduc
Brief announcement: towards a communication optimal fast multipole method and its implications at exascale. SPAA (2012)
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
A Distributed Kernel Summation Framework for General-Dimension Machine Learning. SDM (2012)
Richard W. Vuduc, Kenneth Czechowski, Aparna Chandramowlishwaran, JeeWhan Choi
Courses in High-performance Computing for Scientists and Engineers. IPDPS Workshops (2012)
Jaewoong Sim, Aniruddha Dasgupta, Hyesoon Kim, Richard W. Vuduc
A performance analysis framework for identifying potential benefits in GPGPU applications. PPOPP (2012)
Sangmin Park, Richard W. Vuduc, Mary Jean Harrold
A Unified Approach for Localizing Non-deadlock Concurrency Bugs. ICST (2012)
Richard W. Vuduc, Kenneth Czechowski
Toward a Theory of Algorithm-Architecture Co-design. VECPAR (2012)
Aparna Chandramowlishwaran, Richard W. Vuduc
Communication-Optimal Parallel N-body Solvers. IPDPS Workshops (2012)
William B. March, Kenneth Czechowski, Marat Dukhan, Thomas Benson, Dongryeol Lee, Andrew J. Connolly, Richard W. Vuduc, Edmond Chow, Alexander G. Gray
Optimizing the computation of n-point correlations on large-scale astronomical data. SC (2012)
Jaekyu Lee, Hyesoon Kim, Richard W. Vuduc
When Prefetching Works, When It Doesn't, and Why. ACM Trans. Archit. Code Optim. 9 (1) (2012)
Ilya Lashuk, Aparna Chandramowlishwaran, Harper Langston, Tuan-Anh Nguyen, Rahul S. Sampath, Aashay Shringarpure, Richard W. Vuduc, Lexing Ying, Denis Zorin, George Biros
A massively parallel adaptive fast multipole method on heterogeneous architectures. Commun. ACM 55 (5) (2012)
Cong Hou, George Vulov, Daniel J. Quinlan, David R. Jefferson, Richard Fujimoto, Richard W. Vuduc
A New Method for Program Inversion. CC (2012)
Sooraj Bhat, Ashish Agarwal, Richard W. Vuduc, Alexander G. Gray
A type theory for probability density functions. POPL (2012)
JeeWhan Choi, Richard W. Vuduc
Modeling and Analysis for Performance and Power. IPDPS Workshops (2012)
Cong Hou, Daniel J. Quinlan, David R. Jefferson, Richard Fujimoto, Richard W. Vuduc
Synthesizing Loops for Program Inversion. RC (2012)
George Vulov, Cong Hou, Richard W. Vuduc, Richard Fujimoto, Daniel J. Quinlan, David R. Jefferson
The Backstroke framework for source level reverse computation applied to parallel discrete event simulation. WSC (2011)
Takahiro Katagiri, Richard W. Vuduc
The Sixth International Workshop on Automatic Performance Tuning (iWAPT2011). ICCS (2011)
Richard W. Vuduc, Kent Czechowski
What GPU Computing Means for High-End Systems. IEEE Micro 31 (4) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Richard W. Vuduc