Vivek Sarkar

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 134

Top Venues

CoRR

Euro-Par

PACT

Publications

Shubhendra Pal Singhal, Akihiro Hayashi, Vivek Sarkar
Bottleneck Scenarios in Use of the Conveyors Message Aggregation Library. ISPASS (2024)
Tong Zhou, Jun Shirako, Vivek Sarkar
APPy: Annotated Parallelism for Python on GPUs. CC (2024)
Akihiro Hayashi, Austin Adams, Jeffrey Young, Alexander McCaskey, Eugene F. Dumitrescu, Vivek Sarkar, Thomas M. Conte
Enabling Multi-threading in Heterogeneous Quantum-Classical Programming Models. CoRR (2023)
Fangke Ye, Jisheng Zhao, Jun Shirako, Vivek Sarkar
Concrete Type Inference for Code Optimization using Machine Learning with SMT Solving. Proc. ACM Program. Lang. 7 (OOPSLA2) (2023)
Jisheng Zhao, Colleen Bertoni, Jeffrey Young, Kevin Harms, Vivek Sarkar, Brice Videau
HIPLZ: Enabling performance portability for exascale systems. Concurr. Comput. Pract. Exp. 35 (25) (2023)
Youssef Elmougy, Akihiro Hayashi, Vivek Sarkar
Highly Scalable Large-Scale Asynchronous Graph Processing using Actors. CCGridW (2023)
Feiyang Jin, Lechen Yu, Tiago Cogumbreiro, Jun Shirako, Vivek Sarkar
Dynamic Determinacy Race Detection for Task-Parallel Programs with Promises. ECOOP (2023)
John Parrish, Nicole Wren, Tsz Hang Kiang, Akihiro Hayashi, Jeffrey Young, Vivek Sarkar
Towards Safe HPC: Productivity and Performance via Rust Interfaces for a Distributed C++ Actors Library (Work in Progress). MPLR (2023)
Akihiro Hayashi, Austin Adams, Jeffrey Young, Alexander McCaskey, Eugene F. Dumitrescu, Vivek Sarkar, Thomas M. Conte
Enabling Multi-threading in Heterogeneous Quantum-Classical Programming Models. IPDPS Workshops (2023)
Sri Raj Paul, Akihiro Hayashi, Kun Chen, Youssef Elmougy, Vivek Sarkar
A Fine-grained Asynchronous Bulk Synchronous parallelism model for PGAS applications. J. Comput. Sci. 69 (2023)
Prasanth Chatarasi, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer, Tushar Krishna, Vivek Sarkar
Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators. ACM Trans. Archit. Code Optim. 19 (1) (2022)
Feiyang Jin, John Jacobson, Samuel D. Pollard, Vivek Sarkar
MiniKokkos: A Calculus of Portable Parallelism. Correctness@SC (2022)
Jisheng Zhao, Colleen Bertoni, Jeffrey Young, Kevin Harms, Vivek Sarkar, Brice Videau
HIPLZ: Enabling Performance Portability for Exascale Systems. Euro-Par Workshops (2022)
Akihiro Hayashi, Sri Raj Paul, Vivek Sarkar
A Multi-Level Platform-Independent GPU API for High-Level Programming Models. ISC Workshops (2022)
Sri Raj Paul, Akihiro Hayashi, Kun Chen, Vivek Sarkar
A Productive and Scalable Actor-Based Programming System for PGAS Applications. ICCS (1) (2022)
Lechen Yu, Feiyang Jin, Joachim Protze, Vivek Sarkar
Leveraging the Dynamic Program Structure Tree to Detect Data Races in OpenMP Programs. Correctness@SC (2022)
Tong Zhou, Ruiqin Tian, Rizwan A. Ashraf, Roberto Gioiosa, Gokcen Kestor, Vivek Sarkar
ReACT: Redundancy-Aware Code Generation for Tensor Expressions. PACT (2022)
Sana Damani, Prithayan Barua, Vivek Sarkar
Memory access scheduling to reduce thread migrations. CC (2022)
Seonmyeong Bak, Colleen Bertoni, Swen Boehm, Reuben D. Budiardja, Barbara M. Chapman, Johannes Doerfert, Markus Eisenbach, Hal Finkel, Oscar R. Hernandez, Joseph Huber, Shintaro Iwasaki, Vivek Kale, Paul R. C. Kent, JaeHyuk Kwack, Meifeng Lin, Piotr Luszczek, Ye Luo, Buu Pham, Swaroop Pophale, Kiran Ravikumar, Vivek Sarkar, Thomas Scogland, Shilei Tian, P. K. Yeung
OpenMP application experiences: Porting to accelerated nodes. Parallel Comput. 109 (2022)
Jun Shirako, Akihiro Hayashi, Sri Raj Paul, Alexey Tumanov, Vivek Sarkar
Automatic Parallelization of Python Programs for Distributed Heterogeneous Computing. Euro-Par (2022)
Matthew Whitlock, Nicolas Morales, George Bosilca, Aurelien Bouteiller, Bogdan Nicolae, Keita Teranishi, Elisabeth Giem, Vivek Sarkar
Integrating process, control-flow, and data resiliency layers using a hybrid Fenix/Kokkos approach. CLUSTER (2022)
Jun Shirako, Akihiro Hayashi, Sri Raj Paul, Alexey Tumanov, Vivek Sarkar
Automatic Parallelization of Python Programs for Distributed Heterogeneous Computing. CoRR (2022)
Sri Raj Paul, Akihiro Hayashi, Kun Chen, Vivek Sarkar
A Scalable Actor-based Programming System for PGAS Runtimes. CoRR (2021)
Lechen Yu, Joachim Protze, Oscar R. Hernandez, Vivek Sarkar
ARBALEST: Dynamic Detection of Data Mapping Issues in Heterogeneous OpenMP Applications. IPDPS (2021)
Caleb Voss, Vivek Sarkar
An Ownership Policy and Deadlock Detector for Promises. CoRR (2021)
Ohad Rau, Caleb Voss, Vivek Sarkar
Linear Promises: Towards Safer Concurrent Programming. ECOOP (2021)
Seonmyeong Bak, Oscar R. Hernandez, Mark Gates, Piotr Luszczek, Vivek Sarkar
Task-graph scheduling extensions for efficient synchronization and communication. ICS (2021)
Ohad Rau, Caleb Voss, Vivek Sarkar
Linear Promises: Towards Safer Concurrent Programming (Artifact). Dagstuhl Artifacts Ser. 7 (2) (2021)
Max Grossman, Steve Poole, Howard Pritchard, Vivek Sarkar
SHMEM-ML: Leveraging OpenSHMEM and Apache Arrow for Scalable, Composable Machine Learning. OpenSHMEM (2021)
Caleb Voss, Vivek Sarkar
An ownership policy and deadlock detector for promises. PPoPP (2021)
Seonmyeong Bak, Oscar R. Hernandez, Mark Gates, Piotr Luszczek, Vivek Sarkar
Task-Graph Scheduling Extensions for Efficient Synchronization and Communication. CoRR (2020)
Prasanth Chatarasi, Hyoukjun Kwon, Natesh Raina, Saurabh Malik, Vaisakh Haridas, Tushar Krishna, Vivek Sarkar
MARVEL: A Decoupled Model-driven Approach for Efficiently Mapping Convolutions on Spatial DNN Accelerators. CoRR (2020)
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)
Fangke Ye, Jisheng Zhao, Vivek Sarkar
Advanced Graph-Based Deep Learning for Probabilistic Type Inference. CoRR (2020)
Sri Raj Paul, Akihiro Hayashi, Matthew Whitlock, Seonmyeong Bak, Keita Teranishi, Jackson R. Mayo, Max Grossman, Vivek Sarkar
Integrating Inter-Node Communication with a Resilient Asynchronous Many-Task Runtime System. ExaMPI@SC (2020)
Prasanth Chatarasi, Stephen Neuendorffer, Samuel Bayliss, Kees A. Vissers, Vivek Sarkar
Vyasa: A High-Performance Vectorizing Compiler for Tensor Convolutions on the Xilinx AI Engine. CoRR (2020)
Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Nesime Tatbul, Jesmin Jahan Tithi, Paul Petersen, Timothy G. Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich
MISIM: An End-to-End Neural Code Similarity System. CoRR (2020)
Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Paul Petersen, Jesmin Jahan Tithi, Tim Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich
Context-Aware Parse Trees. CoRR (2020)
Prasanth Chatarasi, Stephen Neuendorffer, Samuel Bayliss, Kees A. Vissers, Vivek Sarkar
Vyasa: A High-Performance Vectorizing Compiler for Tensor Convolutions on the Xilinx AI Engine. HPEC (2020)
Akihiro Hayashi, Sri Raj Paul, Vivek Sarkar
Exploring a multi-resolution GPU programming model for Chapel. IPDPS Workshops (2020)
Max Grossman, Howard Pritchard, Steve Poole, Vivek Sarkar
HOOVER: Leveraging OpenSHMEM for High Performance, Flexible Streaming Graph Applications. PAW-ATM@SC (2020)
Prithayan Barua, Jisheng Zhao, Vivek Sarkar
OmpMemOpt: Optimized Memory Movement for Heterogeneous Computing. Euro-Par (2020)
Lechen Yu, Joachim Protze, Oscar R. Hernandez, Vivek Sarkar
A Study of Memory Anomalies in OpenMP Applications. IWOMP (2020)
Hyoukjun Kwon, Prasanth Chatarasi, Vivek Sarkar, Tushar Krishna, Michael Pellauer, Angshuman Parashar
MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings. IEEE Micro 40 (3) (2020)
Jun Shirako, Vivek Sarkar
An Affine Scheduling Framework for Integrating Data Layout and Loop Transformations. LCPC (2020)
Hyoukjun Kwon, Prasanth Chatarasi, Michael Pellauer, Angshuman Parashar, Vivek Sarkar, Tushar Krishna
Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric Approach. MICRO (2019)
Prithayan Barua, Jun Shirako, Whitney Tsang, Jeeva Paudel, Wang Chen, Vivek Sarkar
OMPSan: Static Verification of OpenMP's Data Mapping Constructs. IWOMP (2019)
Sri Raj Paul, Akihiro Hayashi, Nicole Slattengren, Hemanth Kolla, Matthew Whitlock, Seonmyeong Bak, Keita Teranishi, Jackson R. Mayo, Vivek Sarkar
Enabling Resilience in Asynchronous Many-Task Programming Models. Euro-Par (2019)
Sana Damani, Vivek Sarkar
Common Subexpression Convergence: A New Code Optimization for SIMT Processors. LCPC (2019)
Seonmyeong Bak, Yanfei Guo, Pavan Balaji, Vivek Sarkar
Optimized Execution of Parallel Loops via User-Defined Scheduling Policies. ICPP (2019)
Caleb Voss, Tiago Cogumbreiro, Vivek Sarkar
Transitive joins: a sound and efficient online deadlock-avoidance policy. PPoPP (2019)
Vivek Sarkar
Data Flow Execution Models - A Third Opinion. HiPC (2019)
Tong Zhou, Michael R. Jantz, Prasad A. Kulkarni, Kshitij A. Doshi, Vivek Sarkar
Valence: variable length calling context encoding. CC (2019)
Jeffrey S. Young, E. Jason Riedy, Thomas M. Conte, Vivek Sarkar, Prasanth Chatarasi, Sriseshan Srikanth
Experimental Insights from the Rogues Gallery. ICRC (2019)
Bahareh Goodarzi, Farzad Khorasani, Vivek Sarkar, Dhrubajyoti Goswami
High Performance Multilevel Graph Partitioning on GPU. HPCS (2019)
Akihiro Hayashi, Jun Shirako, Ettore Tiotto, Robert Ho, Vivek Sarkar
Performance evaluation of OpenMP's target construct on GPUs - exploring compiler optimisations. Int. J. High Perform. Comput. Netw. 13 (1) (2019)
Nitish Kumar Srivastava, Hongbo Rong, Prithayan Barua, Guanyu Feng, Huanqi Cao, Zhiru Zhang, David H. Albonesi, Vivek Sarkar, Wenguang Chen, Paul Petersen, Geoff Lowney, Adam Herr, Christopher J. Hughes, Timothy G. Mattson, Pradeep Dubey
T2S-Tensor: Productively Generating High-Performance Spatial Hardware for Dense Tensor Computations. FCCM (2019)
Farzad Khorasani, Hodjat Asghari Esfeden, Amin Farmahini Farahani, Nuwan Jayasena, Vivek Sarkar
RegMutex: Inter-Warp GPU Register Time-Sharing. ISCA (2018)
Cody Hao Yu, Peng Wei, Max Grossman, Peng Zhang, Vivek Sarkar, Jason Cong
S2FA: an accelerator automation framework for heterogeneous computing in datacenters. DAC (2018)
Prasanth Chatarasi, Jun Shirako, Albert Cohen, Vivek Sarkar
A Unified Approach to Variable Renaming for Enhanced Vectorization. LCPC (2018)
Farzad Khorasani, Hodjat Asghari Esfeden, Nael B. Abu-Ghazaleh, Vivek Sarkar
In-Register Parameter Caching for Dynamic Neural Nets with Virtual Persistent Processor Specialization. MICRO (2018)
Ankush Mandal, Rajkishore Barik, Vivek Sarkar
Using Dynamic Compilation to Achieve Ninja Performance for CNN Training on Many-Core Processors. Euro-Par (2018)
Fangke Ye, Markus Schordan, Chunhua Liao, Pei-Hung Lin, Ian Karlin, Vivek Sarkar
Using Polyhedral Analysis to Verify OpenMP Applications are Data Race Free. CORRECTNESS@SC (2018)
Ankush Mandal, He Jiang, Anshumali Shrivastava, Vivek Sarkar
Topkapi: Parallel and Fast Sketches for Finding Top-K Frequent Elements. NeurIPS (2018)
Lechen Yu, Vivek Sarkar
GT-Race: Graph Traversal Based Data Race Detection for Asynchronous Many-Task Parallelism. Euro-Par (2018)
Srdan Milakovic, Zoran Budimlic, Howard Pritchard, Anthony Curtis, Barbara M. Chapman, Vivek Sarkar
SHCOLL - A Standalone Implementation of OpenSHMEM-Style Collectives API. OpenSHMEM (2018)
Wael R. Elwasif, Eduardo F. D'Azevedo, Arghya Chatterjee, Gonzalo Alvarez, Oscar R. Hernandez, Vivek Sarkar
MiniApp for Density Matrix Renormalization Group Hamiltonian Application Kernel. CLUSTER (2018)
Sri Raj Paul, Kun Chen, Akihiro Hayashi, Max Grossman, Vivek Sarkar, Jason DeVinney, Bill Carlson
A Unified Runtime for PGAS and Event-Driven Programming. ESPM2@SC (2018)
Vivek Sarkar, Max Grossman, Zoran Budimlic, Shams Imam
A One Year Retrospective on a MOOC in Parallel, Concurrent, and Distributed Programming in Java. EduHPC@SC (2018)
Dimitar K. Dimitrov, Martin T. Vechev, Vivek Sarkar
Race Detection in Two Dimensions. ACM Trans. Parallel Comput. 4 (4) (2018)
Jisheng Zhao, Michael G. Burke, Vivek Sarkar
Parallel sparse flow-sensitive points-to analysis. CC (2018)
Prasanth Chatarasi, Vivek Sarkar
A Preliminary Study of Compiler Transformations for Graph Applications on the Emu System. MCHPC@SC (2018)
Oleksandr Zinenko, Sven Verdoolaege, Chandan Reddy, Jun Shirako, Tobias Grosser, Vivek Sarkar, Albert Cohen
Modeling the conflicting demands of parallelism and Temporal/Spatial locality in affine scheduling. CC (2018)
Arghya Chatterjee, Gonzalo Alvarez, Eduardo F. D'Azevedo, Wael R. Elwasif, Oscar R. Hernandez, Vivek Sarkar
Porting DMRG++ Scientific Application to OpenPOWER. ISC Workshops (2018)
Max Grossman, Howard Pritchard, Tony Curtis, Vivek Sarkar
HOOVER: Distributed, Flexible, and Scalable Streaming Graph Processing on OpenSHMEM. OpenSHMEM (2018)
Jisheng Zhao, Oscar R. Hernandez, Reuben D. Budiardja, M. Graham Lopez, Vivek Sarkar, Jack C. Wells
Compile-Time Library Call Detection Using CAASCADE and XALT. ISC Workshops (2018)
Fangke Ye, Jisheng Zhao, Vivek Sarkar
Detecting MPI usage anomalies via partial program symbolic execution. SC (2018)
Prithayan Barua, Jun Shirako, Vivek Sarkar
Cost-driven thread coarsening for GPU kernels. PACT (2018)
Nick Vrvilo, Lechen Yu, Vivek Sarkar
A marshalled data format for pointers in relocatable data blocks. ISMM (2017)
Max Grossman, Joseph Doyle, James Dinan, Howard Pritchard, Kayla Seager, Vivek Sarkar
Implementation and Evaluation of OpenSHMEM Contexts Using OFI Libfabric. OpenSHMEM (2017)
Tiago Cogumbreiro, Rishi Surendran, Francisco Martins, Vivek Sarkar, Vasco T. Vasconcelos, Max Grossman
Deadlock avoidance in parallel programs with futures: why parallel tasks should not wait for strangers. Proc. ACM Program. Lang. 1 (OOPSLA) (2017)
Arghya Chatterjee, Srdan Milakovic, Bing Xue, Zoran Budimlic, Vivek Sarkar
DAMMP: A Distributed Actor Model for Mobile Platforms. ManLang (2017)
Jun Shirako, Akihiro Hayashi, Vivek Sarkar
Optimized two-level parallelization for GPU accelerators using the polyhedral model. CC (2017)
Tiago Cogumbreiro, Jun Shirako, Vivek Sarkar
Formalization of Habanero phasers using Coq. J. Log. Algebraic Methods Program. 90 (2017)
Max Grossman, Vivek Kumar, Nick Vrvilo, Zoran Budimlic, Vivek Sarkar
A Pluggable Framework for Composable HPC Scheduling Libraries. IPDPS Workshops (2017)
Akihiro Hayashi, Sri Raj Paul, Max Grossman, Jun Shirako, Vivek Sarkar
Chapel-on-X: Exploring Tasking Runtimes for PGAS Languages. ESPM2@SC (2017)
Vivek Sarkar, Max Grossman, Zoran Budimlic, Shams Imam
Preparing an Online Java Parallel Computing Course. IPDPS Workshops (2017)
Max Grossman, Maha Aziz, Heng Chi, Anant Tibrewal, Shams Imam, Vivek Sarkar
Pedagogy and tools for teaching parallel computing at the sophomore undergraduate level. J. Parallel Distributed Comput. 105 (2017)
Gloria Y. K. Kim, Akihiro Hayashi, Vivek Sarkar
Exploration of Supervised Machine Learning Techniques for Runtime Selection of CPU vs. GPU Execution in Java Programs. WACCPD@SC (2017)
Max Grossman, Howard Pritchard, Zoran Budimlic, Vivek Sarkar
Graph500 on OpenSHMEM: Using A Practical Survey of Past Work to Motivate Novel Algorithmic Developments. PAW@SC (2017)
Arghya Chatterjee, Branko Gvoka, Bing Xue, Zoran Budimlic, Shams Imam, Vivek Sarkar
A Distributed Selectors Runtime System for Java Applications. PPPJ (2016)
Martin Kong, Louis-Noël Pouchet, P. Sadayappan, Vivek Sarkar
PIPES: a language and compiler for task-based programming on distributed-memory clusters. SC (2016)
Kumud Bhandari, Vivek Sarkar
Tree-based Read-only Data Chunks for NVRAM Programming. DFM@PACT (2016)
Rishi Surendran, Vivek Sarkar
Dynamic Determinacy Race Detection for Task Parallelism with Futures. RV (2016)
Matthew Francis-Landau, Bing Xue, Jason Eisner, Vivek Sarkar
Fine-Grained Parallelism in Probabilistic Parsing with Habanero Java. IA3@SC (2016)
Akihiro Hayashi, Jun Shirako, Ettore Tiotto, Robert Ho, Vivek Sarkar
Exploring Compiler Optimization Opportunities for the OpenMP 4.× Accelerator Model on a POWER8+GPU Platform. WACCPD@SC (2016)
Max Grossman, Christopher Thiele, Mauricio Araya-Polo, Florian Frank, Faruk O. Alpak, Vivek Sarkar
A survey of sparse matrix-vector multiplication performance on large matrices. CoRR (2016)
Yuhan Peng, Max Grossman, Vivek Sarkar
Static Cost Estimation for Data Layout Selection on GPUs. PMBS@SC (2016)
Dragos Sbirlea, Jun Shirako, Ryan Newton, Vivek Sarkar
SCnC: Efficient Unification of Streaming with Dynamic Task Parallelism. Int. J. Parallel Program. 44 (2) (2016)
Sanjay Chatterjee, Nick Vrvilo, Zoran Budimlic, Kathleen Knobe, Vivek Sarkar
Declarative Tuning for Locality in Parallel Programs. ICPP (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vivek Sarkar