Prasanth Chatarasi  Prasanth Chatarasi photo         

contact information

Research Staff Member
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  

links


more information

More information:  Google scholar  |  DBLP


2021

Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators
Prasanth Chatarasi, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer, Tushar Krishna, Vivek Sarkar
ACM Transactions on Architecture and Code Optimization, 2021

Hardware Abstractions for targeting EDDO Architectures with the Polyhedral Model
Angshuman Parashar, Prasanth Chatarasi, Po-An Tsai
11th International Workshop on Polyhedral Compilation Techniques (IMPACT'21), 2021

Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators
Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
30th International Conference on Parallel Architectures and Compilation Techniques (PACT), 2021
Abstract

Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication
Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
IEEE Transactions on Parallel and Distributed Systems, 1-1, Institute of Electrical and Electronics Engineers (IEEE), 2021
Abstract


2020


Vyasa: A High-Performance Vectorizing Compiler for Tensor Convolutions on the Xilinx AI Engine
Prasanth Chatarasi, Stephen Neuendorffer, Samuel Bayliss, Kees Vissers, Vivek Sarkar
2020 IEEE High Performance Extreme Computing Conference (HPEC), pp. 1-10, IEEE
Abstract

MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings
Hyoukjun Kwon, Prasanth Chatarasi, Vivek Sarkar, Tushar Krishna, Michael Pellauer, Angshuman Parashar
IEEE Micro 40(3), 20-29, IEEE, 2020
Abstract


2019

Experimental Insights from the Rogues Gallery
Jeffrey S. Young, Jason Riedy, Thomas M. Conte, Vivek Sarkar, Prasanth Chatarasi, Sriseshan Srikanth
2019 IEEE International Conference on Rebooting Computing (ICRC), pp. 80-87, IEEE
Abstract

Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric Approach
Hyoukjun Kwon, Prasanth Chatarasi, Michael Pellauer, Angshuman Parashar, Vivek Sarkar, Tushar Krishna
Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, pp. 754-768, ACM, 2019
Abstract


2018

A Unified Approach to Variable Renaming for Enhanced Vectorization
Prasanth Chatarasi, Jun Shirako, Albert Cohen, Vivek Sarkar
International Workshop on Languages and Compilers for Parallel Computing, pp. 1-20, Springer, Cham, 2018
Abstract

A Preliminary Study of Compiler Transformations for Graph Applications on the Emu System
Prasanth Chatarasi, Vivek Sarkar
Proceedings of the Workshop on Memory Centric High Performance Computing, pp. 37-44, ACM, 2018
Abstract


2017



2016

An Extended Polyhedral Model for SPMD Programs and Its Use in Static Data Race Detection
Prasanth Chatarasi, Jun Shirako, Martin Kong, Vivek Sarkar
International Workshop on Languages and Compilers for Parallel Computing, pp. 106-120, Springer, Cham, 2016
Abstract


2015

Extending Polyhedral Model for Analysis and Transformation of OpenMP Programs
Prasanth Chatarasi, Vivek Sarkar
2015 International Conference on Parallel Architecture and Compilation (PACT), pp. 490-491, IEEE
Abstract

Polyhedral Optimizations of Explicitly Parallel Programs
Prasanth Chatarasi, Jun Shirako, Vivek Sarkar
2015 International Conference on Parallel Architecture and Compilation (PACT), pp. 213-226, IEEE
Abstract