Richard W. Vuduc
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
60
Venues
25
Active years
2004–2025
Best venue rank
A*
Where they publish
- ASC16 papers
- AICS6 papers
- BICPP4 papers
- BPPoPP4 papers
- BSPAA3 papers
- A*KDD3 papers
- AISSTA3 papers
- AHPDC2 papers
- AIROS2 papers
- ASDM2 papers
- AOOPSLA1 paper
- A*ICDM1 paper
- A*ASPLOS1 paper
- BEuroPar1 paper
- A*ISCA1 paper
- NationalPPAM1 paper
- BCC1 paper
- AICST1 paper
- A*POPL1 paper
- CRC1 paper
- NationalWSC1 paper
- A*ICSE1 paper
- A*MICRO1 paper
- BICECCS1 paper
- CHPCC1 paper
Papers
60 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SPAA | Brief Announcement: Optimality Conditions for Parallel Communication-Avoiding Matrix Multiplication with Overlapped Communication. | Mikhail Isaev, Srinivas Eswar, Richard W. Vuduc |
| 2024 | SC | Asynchronous Distributed-Memory Parallel Algorithms for Influence Maximization. | Shubhendra Pal Singhal, Souvadra Hati, Jeffrey Young, Vivek Sarkar, Akihiro Hayashi, Richard W. Vuduc |
| 2023 | ICS | Distributed-Memory Parallel JointNMF. | Srinivas Eswar, Benjamin Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park |
| 2023 | SC | 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 |
| 2022 | ICPP | ParaGraph: An application-simulator interface and toolkit for hardware-software co-design. | Mikhail Isaev, Nic McDonald, Jeffrey Young, Richard W. Vuduc |
| 2022 | KDD | Nimble GNN Embedding with Tensor-Train Decomposition. | Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc |
| 2022 | SC | 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 |
| 2021 | HPDC | 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 |
| 2020 | IROS | 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 |
| 2020 | OOPSLA | 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 |
| 2020 | PPoPP | A supernodal all-pairs shortest path algorithm. | Piyush Sao, Ramakrishnan Kannan, Prasun Gera, Richard W. Vuduc |
| 2020 | SC | Distributed-memory parallel symmetric nonnegative matrix factorization. | Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Richard W. Vuduc, Haesun Park |
| 2020 | SC | 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 |
| 2019 | ICPP | Faster parallel collision detection at high resolution for CNC milling applications. | Xin Chen, Dmytro Konobrytskyi, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc |
| 2019 | IROS | Adaptive Deep Path: Efficient Coverage of a Known Environment under Various Configurations. | Xin Chen, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc |
| 2019 | ICS | Efficient and effective sparse tensor reordering. | Jiajia Li, Bora Uar, mit V. atalyrek, Jimeng Sun, Kevin J. Barker, Richard W. Vuduc |
| 2019 | ICS | A communication-avoiding 3D sparse triangular solver. | Piyush Sao, Ramakrishnan Kannan, Xiaoye Sherry Li, Richard W. Vuduc |
| 2019 | SC | Self-stabilizing Connected Components. | Piyush Sao, Christian Engelmann, Srinivas Eswar, Oded Green, Richard W. Vuduc |
| 2018 | ICS | Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems. | Yang You, James Demmel, Cho-Jui Hsieh, Richard W. Vuduc |
| 2018 | KDD | 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 |
| 2018 | SC | HiCOO: hierarchical storage of sparse tensors. | Jiajia Li, Jimeng Sun, Richard W. Vuduc |
| 2017 | KDD | SPARTan: Scalable PARAFAC2 for Large & Sparse Data. | Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun |
| 2017 | SDM | Polyadic Regression and its Application to Chemogenomics. | Ioakeim Perros, Fei Wang, Ping Zhang, Peter B. Walker, Richard W. Vuduc, Jyotishman Pathak, Jimeng Sun |
| 2016 | HPDC | A Self-Correcting Connected Components Algorithm. | Piyush Sao, Oded Green, Chirag Jain, Richard W. Vuduc |
| 2016 | SC | Optimizing Sparse Tensor Times Matrix on Multi-core and Many-Core Architectures. | Jiajia Li, Yuchen Ma, Chenggang Yan, Richard W. Vuduc |
| 2015 | ICDM | Sparse Hierarchical Tucker Factorization and Its Application to Healthcare. | Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun |
| 2015 | SC | A GPU-parallel construction of volumetric tree. | Mohammad M. Hossain, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc |
| 2015 | SC | An input-adaptive and in-place approach to dense tensor-times-matrix multiply. | Jiajia Li, Casey Battaglino, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc |
| 2015 | SPAA | Branch-Avoiding Graph Algorithms. | Oded Green, Marat Dukhan, Richard W. Vuduc |
| 2014 | ASPLOS | A CPU: GPU Hybrid Implementation and Model-Driven Scheduling of the Fast Multipole Method. | JeeWhan Choi, Aparna Chandramowlishwaran, Kamesh Madduri, Richard W. Vuduc |
| 2014 | EuroPar | A Distributed CPU-GPU Sparse Direct Solver. | Piyush Sao, Richard W. Vuduc, Xiaoye Sherry Li |
| 2014 | ISCA | Improving the energy efficiency of Big Cores. | Kenneth Czechowski, Victor W. Lee, Ed Grochowski, Ronny Ronen, Ronak Singhal, Richard W. Vuduc, Pradeep Dubey |
| 2013 | ISSTA | Griffin: grouping suspicious memory-access patterns to improve understanding of concurrency bugs. | Sangmin Park, Mary Jean Harrold, Richard W. Vuduc |
| 2013 | PPAM | Methods for High-Throughput Computation of Elementary Functions. | Marat Dukhan, Richard W. Vuduc |
| 2013 | SC | Self-stabilizing iterative solvers. | Piyush Sao, Richard W. Vuduc |
| 2012 | CC | A New Method for Program Inversion. | Cong Hou, George Vulov, Daniel J. Quinlan, David R. Jefferson, Richard Fujimoto, Richard W. Vuduc |
| 2012 | ICS | 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 |
| 2012 | ICST | A Unified Approach for Localizing Non-deadlock Concurrency Bugs. | Sangmin Park, Richard W. Vuduc, Mary Jean Harrold |
| 2012 | POPL | A type theory for probability density functions. | Sooraj Bhat, Ashish Agarwal, Richard W. Vuduc, Alexander G. Gray |
| 2012 | PPoPP | A performance analysis framework for identifying potential benefits in GPGPU applications. | Jaewoong Sim, Aniruddha Dasgupta, Hyesoon Kim, Richard W. Vuduc |
| 2012 | RC | Synthesizing Loops for Program Inversion. | Cong Hou, Daniel J. Quinlan, David R. Jefferson, Richard Fujimoto, Richard W. Vuduc |
| 2012 | SC | 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 |
| 2012 | SDM | A Distributed Kernel Summation Framework for General-Dimension Machine Learning. | Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray |
| 2012 | SPAA | Brief announcement: towards a communication optimal fast multipole method and its implications at exascale. | Aparna Chandramowlishwaran, JeeWhan Choi, Kamesh Madduri, Richard W. Vuduc |
| 2011 | WSC | 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 |
| 2010 | ICSE | Falcon: fault localization in concurrent programs. | Sangmin Park, Richard W. Vuduc, Mary Jean Harrold |
| 2010 | MICRO | Many-Thread Aware Prefetching Mechanisms for GPGPU Applications. | Jaekyu Lee, Nagesh B. Lakshminarayana, Hyesoon Kim, Richard W. Vuduc |
| 2010 | PPoPP | Applying the concurrent collections programming model to asynchronous parallel dense linear algebra. | Aparna Chandramowlishwaran, Kathleen Knobe, Richard W. Vuduc |
| 2010 | PPoPP | Model-driven autotuning of sparse matrix-vector multiply on GPUs. | JeeWhan Choi, Amik Singh, Richard W. Vuduc |
| 2010 | SC | Diagnosis, Tuning, and Redesign for Multicore Performance: A Case Study of the Fast Multipole Method. | Aparna Chandramowlishwaran, Kamesh Madduri, Richard W. Vuduc |
| 2010 | SC | 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 |
| 2009 | ICPP | Direct N-body Kernels for Multicore Platforms. | Nitin Arora, Aashay Shringarpure, Richard W. Vuduc |
| 2009 | ICS | Tuned and wildly asynchronous stencil kernels for hybrid CPU/GPU systems. | Sundaresan Venkatasubramanian, Richard W. Vuduc |
| 2009 | SC | 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 |
| 2007 | ICECCS | Communicating Software Architecture using a Unified Single-View Visualization. | Thomas Panas, Thomas Epperly, Daniel J. Quinlan, Andreas Sbjrnsen, Richard W. Vuduc |
| 2007 | ISSTA | Techniques for specifying bug patterns. | Daniel J. Quinlan, Richard W. Vuduc, Ghassan Misherghi |
| 2007 | SC | Optimization of sparse matrix-vector multiplication on emerging multicore platforms. | Samuel Williams, Leonid Oliker, Richard W. Vuduc, John Shalf, Katherine A. Yelick, James Demmel |
| 2006 | ISSTA | Improving distributed memory applications testing by message perturbation. | Richard W. Vuduc, Martin Schulz, Daniel J. Quinlan, Bronis R. de Supinski, Andreas Sbjrnsen |
| 2005 | HPCC | Fast Sparse Matrix-Vector Multiplication by Exploiting Variable Block Structure. | Richard W. Vuduc, Hyun Jin Moon |
| 2004 | ICPP | Performance Models for Evaluation and Automatic Tuning of Symmetric Sparse Matrix-Vector Multiply. | Benjamin C. Lee, Richard W. Vuduc, James Demmel, Katherine A. Yelick |