References for NSF 20-565


Zeng19 S. Zeng, J. M. Monsalve Diaz and S. Raskar, "Toward A High-Performance Emulation Platformfor Brain-Inspired Intelligent SystemsExploring Dataflow-Based Execution Model and Beyond," 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), Milwaukee, WI, USA, 2019, pp. 628-633.
MonsalveDiaz19 J. Monsalve, K. Harms, K. Kalyan and G. Gao, "Sequential Codelet Model of Program Execution. A Super-Codelet model based on the Hierarchical Turing Machine.," 2019 IEEE/ACM Third Annual Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware (IPDRM), Denver, CO, USA, 2019, pp. 1-8.
Raskar2019 S. Raskar, T. Applencourt, K. Kumaran and G. Gao, "Position Paper: Extending Codelet Model for Dataflow Software Pipelining using Software-Hardware Co-Design," 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), Milwaukee, WI, USA, 2019, pp. 640-645.
TM104 G. Gao, J. Suetterlein, and S. Zuckerman. Toward an Execution Model for Extreme-Scale Systems - Runnemede and Beyond. CAPSL Technical Memo 104, April 2011.
TM134 D. Roa, R. Kabrick, S. Raskar, JM Monsalve Diaz and G. Gao. Brain-Flow: A brain inspired dataflow implementation using DEMAC. CAPSL Technical Memo 134 October 2019
TM132 J. Monsalve Diaz, and G. Gao. Sequential Codelet Model for Parallel Execution. CAPSL Technical Memo 132 June 2019
TM135 Study of Dataflow Software Pipelining under Codelet Model using Cannons Algorithm Siddhisanket Raskar, Jose M Monsalve Diaz, Thomas Applencourt, Kalyan Kumaran, and Guang Gao February 2020.
TM136 D. Roa Perdomo,  R.  Kabrick, J. Monsalve Diaz, S. Raskar, D. Fox, G. Gao; “DEMAC and CODIR: A whole stack solution for a HW/SW co-design using an MLIR Codelet Model Dialect, ” CAPSL Technical  Memo 136, April 2020.
Tongsheng20 T. Geng, M. Amaris, S. Zuckerman, A. Goldman, G. R. Gao and JL. Gadiot “PDAWL: Profile-based Iterative Dynamic Adaptive WorkLoad Balance on Heterogeneous Architectures” 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS). New Orleans, LA, USA. 2020.
EXADAPT2012 Lauderdale, C., and Khan, R. Towards a codelet-based runtime for exascale computing: Position paper. In Proceedings of the 2nd International Workshop on Adaptive Self-Tuning Computing Systems for the Exaflop Era (New York, NY, USA, 2012), EXADAPT ’12, Association for Computing Machinery, pp. 21–26.
PARCO2015 Kaplan, S., Pino, S., Landwehr, A., and Gao, G. R. Landing containment domains on SWARM: toward a robust resiliency solution on a dynamic adaptive runtime machine. In Parallel Computing: On the Road to Exascale, Proceedings of the International Conference on Parallel Computing, ParCo 2015, 1-4 September 2015, Edinburgh, Scotland, UK (2015), G. R. Joubert, H. Leather, M. Parsons, F. J. Peters, and M. Sawyer, Eds., vol. 27 of Advances in Parallel Computing, IOS Press, pp. 753–761.
SISA-II Towards HPC Architecture and Systems in 2030 and Beyond --Challenges and Opportunities, Tentative date (Due to COVID-19): October 26-30, October, 2020, Tokyo, Japan.





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