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ORCIDRaghu Prabhakar
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2020 – today
- 2024
[c18]Raghu Prabhakar:
SambaNova SN40L RDU: Breaking the Barrier of Trillion+ Parameter Scale Gen AI Computing. HCS 2024: 1-24- [c17]Alexander C. Rucker, Shiv Sundram, Coleman Smith, Matthew Vilim, Raghu Prabhakar, Fredrik Kjølstad, Kunle Olukotun
:
Revet: A Language and Compiler for Dataflow Threads. HPCA 2024: 1-14 - [i7]Raghu Prabhakar, Ram Sivaramakrishnan, Darshan Gandhi, Yun Du, Mingran Wang, Xiangyu Song, Kejie Zhang, Tianren Gao, Angela Wang, Karen Li, Yongning Sheng, Joshua Brot, Denis Sokolov, Apurv Vivek, Calvin Leung, Arjun Sabnis, Jiayu Bai, Tuowen Zhao, Mark Gottscho, David Jackson, Mark Luttrell, Manish K. Shah, Edison Chen, Kaizhao Liang, Swayambhoo Jain, Urmish Thakker, Dawei Huang, Sumti Jairath, Kevin J. Brown, Kunle Olukotun:
SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts. CoRR abs/2405.07518 (2024) - [i6]David Koeplinger, Darshan Gandhi, Pushkar Nandkar, Nathan Sheeley, Matheen Musaddiq, Leon Zhang, Reid Goodbar, Matthew Shaffer, Han Wang, Angela Wang, Mingran Wang, Raghu Prabhakar:
Kernel Looping: Eliminating Synchronization Boundaries for Peak Inference Performance. CoRR abs/2410.23668 (2024) - 2023
- [c16]Zhengyu Chen, Dawei Huang, Mingran Wang, Bowen Yang, Jinuk Luke Shin, Changran Hu, Bo Li, Raghu Prabhakar, Gao Deng, Yongning Sheng, Sihua Fu, Lu Yuan, Tian Zhao, Yun Du, Chen Liu, Jun Yang, Viren Shah, Venkat Srinivasan, Sumti Jairath:
AI SoC Design Challenges in the Foundation Model Era. CICC 2023: 1-8 - [i5]Alexander Rucker, Shiv Sundram, Coleman Smith, Matthew Vilim, Raghu Prabhakar, Fredrik Kjolstad, Kunle Olukotun:
Revet: A Language and Compiler for Dataflow Threads. CoRR abs/2302.06124 (2023) - [i4]Venkat Srinivasan, Darshan Gandhi, Urmish Thakker, Raghu Prabhakar:
Training Large Language Models Efficiently with Sparsity and Dataflow. CoRR abs/2304.05511 (2023) - 2022
- [c15]Raghu Prabhakar:
(CGRA4HPC) 2022 Invited Speaker: Pushing the Boundaries of HPC with the Integration of AI. IPDPS Workshops 2022: 627 - [c14]Raghu Prabhakar, Sumti Jairath, Jinuk Luke Shin:
SambaNova SN10 RDU: A 7nm Dataflow Architecture to Accelerate Software 2.0. ISSCC 2022: 350-352 - 2021
- [c13]Raghu Prabhakar, Sumti Jairath:
SambaNova SN10 RDU: Accelerating Software 2.0 with Dataflow. HCS 2021: 1-37 - [c12]Alexander Rucker, Matthew Vilim, Tian Zhao, Yaqi Zhang, Raghu Prabhakar, Kunle Olukotun:
Capstan: A Vector RDA for Sparsity. MICRO 2021: 1022-1035 - [i3]Alexander Rucker, Matthew Vilim, Tian Zhao, Yaqi Zhang, Raghu Prabhakar, Kunle Olukotun:
Capstan: A Vector RDA for Sparsity. CoRR abs/2104.12760 (2021)
2010 – 2019
- 2019
- [c11]Yaqi Zhang, Alexander Rucker, Matthew Vilim, Raghu Prabhakar, William Hwang, Kunle Olukotun:
Scalable interconnects for reconfigurable spatial architectures. ISCA 2019: 615-628 - [c10]Rekha Singhal, Yaqi Zhang, Jeffrey D. Ullman, Raghu Prabhakar, Kunle Olukotun:
Efficient Multiway Hash Join on Reconfigurable Hardware. TPCTC 2019: 19-38 - [i2]Kunle Olukotun, Raghu Prabhakar, Rekha Singhal, Jeffrey D. Ullman, Yaqi Zhang:
Efficient Multiway Hash Join on Reconfigurable Hardware. CoRR abs/1905.13376 (2019) - 2018
- [b1]Raghu Prabhakar:
Design of programmable, energy-efficient reconfigurable accelerators. Stanford University, USA, 2018 - [j1]Raghu Prabhakar, Yaqi Zhang, David Koeplinger, Matthew Feldman, Tian Zhao, Stefan Hadjis, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun:
Plasticine: A Reconfigurable Accelerator for Parallel Patterns. IEEE Micro 38(3): 20-31 (2018) - [c9]David Koeplinger, Matthew Feldman, Raghu Prabhakar, Yaqi Zhang, Stefan Hadjis, Ruben Fiszel, Tian Zhao, Luigi Nardi, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun:
Spatial: a language and compiler for application accelerators. PLDI 2018: 296-311 - 2017
- [c8]Raghu Prabhakar, Yaqi Zhang, David Koeplinger, Matthew Feldman, Tian Zhao, Stefan Hadjis, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun:
Plasticine: A Reconfigurable Architecture For Parallel Paterns. ISCA 2017: 389-402 - 2016
- [c7]Raghu Prabhakar, David Koeplinger, Kevin J. Brown, HyoukJoong Lee, Christopher De Sa, Christos Kozyrakis, Kunle Olukotun:
Generating Configurable Hardware from Parallel Patterns. ASPLOS 2016: 651-665 - [c6]David Koeplinger, Raghu Prabhakar, Yaqi Zhang, Christina Delimitrou, Christos Kozyrakis, Kunle Olukotun:
Automatic Generation of Efficient Accelerators for Reconfigurable Hardware. ISCA 2016: 115-127 - 2015
- [i1]Raghu Prabhakar, David Koeplinger, Kevin J. Brown, HyoukJoong Lee, Christopher De Sa, Christos Kozyrakis, Kunle Olukotun:
Generating Configurable Hardware from Parallel Patterns. CoRR abs/1511.06968 (2015) - 2012
- [c5]Jason Cong, Mohammad Ali Ghodrat, Michael Gill, Hui Huang, Bin Liu, Raghu Prabhakar, Glenn Reinman, Marco Vitanza:
Compilation and architecture support for customized vector instruction extension. ASP-DAC 2012: 652-657 - [c4]Raghu Prabhakar, R. Govindarajan, Matthew J. Thazhuthaveetil:
CUDA-For-Clusters: A System for Efficient Execution of CUDA Kernels on Multi-core Clusters. Euro-Par 2012: 415-426 - [c3]Yu-Ting Chen, Jason Cong, Hui Huang, Chunyue Liu, Raghu Prabhakar, Glenn Reinman:
Static and dynamic co-optimizations for blocks mapping in hybrid caches. ISLPED 2012: 237-242 - [c2]Jason Cong, Bin Liu, Guojie Luo, Raghu Prabhakar:
Towards layout-friendly high-level synthesis. ISPD 2012: 165-172 - [c1]Jason Cong, Bin Liu, Raghu Prabhakar, Peng Zhang:
A Study on the Impact of Compiler Optimizations on High-Level Synthesis. LCPC 2012: 143-157
Coauthor Index
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