Arghya is a Performance Engineer in the Scientific Computing Group (SciComp), National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory. His primary responsibilities are supporting and optimizing Exascale Computing Project (ECP) [PI: Dr. Jackie Chen; Pele / S3D] and Center for Accelerated Application Readiness (CAAR) [PI: Dr. Sunita Chandrasekaran; PIConGPU] applications for the Frontier supercomputer.
Arghya is also supporting a SciDAC (Scientific Discovery through Advanced Computing) effort (PI: Dr. Thomas Maier; DCA++) on both research capacity and as a liaison for the Oak Ridge Leadership Computing Facility’s (OLCF) INCITE project.
Prior to the R&D Staff Assistant position, Arghya worked as a Post Master’s Research Associate at the ORNL for a year. where his research focussed on optimizing legacy condensed matter physics applications at ORNL, using asynchronous programming models and hardware optimizations. Arghya is currently enrolled in the PhD program at Georgia Tech (Current Status: PhD Candidate).
Prior to joining Georgia Tech, Arghya completed his MS in Computer Science from Rice University where his research was focused on runtime systems on multicore machines, asynchronous programming models (primarily focused on the Actor model) and exploiting parallelism on Android devices.
R&D Activities Contributions
Center for Accelerated Application Readiness (CAAR) - In preparation for next-generation supercomputer Summit, the Oak Ridge Leadership Computing Facility (OLCF) selected 13 partnership projects into its Center for Accelerated Application Readiness (CAAR)…
SPEC High-Performance Group - The Standard Performance Evaluation Corporation (SPEC) High-Performance Group (HPG) develops benchmarks that represent large, real applications, in scientific and technical computing, Active benchmark suites include…
RAPIDS: SciDAC Institute for Computer and Data Science - The objective of RAPIDS is to assist Office of Science (SC) application teams in overcoming computer science and data challenges in the use of DOE…
2018 — Significant Event Award (LDRD)
2016 — Go! Fellowship (2yrs), ORNL, DOE
2014 — Dean's Grant (2yrs), Rice University
2013 — Erik Jonsson Scholarship, University of Texas at Dallas
2020 - Michael Brim, Chatterjee, Arghya, and George S. Markomanolis. Enabling performance analysis and profiling tools support on the Summit supercomputer. Under Review, 2019.
2019 - Giovanni Balduzzi* (ETH Zurich), Arghya Chatterjee*(NCCS, ORNL), Ying Wai Li* (LANL), Peter Doak (CNMS, ORNL), Urs Haehner (ETH Zurich), Ed D’Azevedo (CSMD, ORNL), Thomas Maier (CNMS, ORNL), and Thomas Schulthess (ETH Zurich & CSCS). Accelerating DCA++ (Dynamical Cluster Approximation) Scientific Application on the Summit supercomputer. Accepted for print @PACT’19, 2019. *Authors contributed equally on this manuscript.
2019 - Arghya Chatterjee (NCCS, ORNL), Ying Wai Li (LANL), Oscar Hernandez (CSMD, ORNL), and Thomas Maier (CNMS, ORNL). Optimizing DCA++ (Dynamical Cluster Approximation) on the Summit Supercomputer. IBM Journal of Research and Development, 2019.
2019 - Joel Criado Ledesma (Barcelona Super Computing [BSC] Group), Marta Garcia (BSC), Jesus Labarta (BSC), Raül Sirvent (BSC), Arghya Chatterjee (NCCS, ORNL), Oscar Hernandez (CSMD, ORNL) and Gonzalo Alvarez (CNMS, ORNL). Optimization of Condensed Matter Physics Application with OpenMP Tasking Model. Preprint. IWOMP 2019.
2017 - Arghya Chatterjee (Georgia Institute of Technology), Srđan Milaković (Rice University), Bing Xue (Rice University), Zoran Budimlić (Rice University), Vivek Sarkar (Georgia Institute of Technology). DAMMP: A Distributed Actor Model for Mobile Platforms. ManLang 2017 Proceedings of the 14th International Conference on Managed Languages and Runtimes Pages 48-59
2018 - Arghya Chatterjee (CSMD, ORNL / GA Tech), Oscar Hernandez (CSMD, ORNL), Thomas Maier (CCSD, ORNL), Vivek Sarkar (GA Tech). Bringing DCA++ (Dynamical Cluster Approximation) Scientific Application to HPC Leadership-class Systems: Summit and beyond. Preprint. 3rd International Workshop on Performance Portable Programming Models for Accelerators (P^3MA).