Raghu Prabhakar

According to our database, Raghu Prabhakar authored at least 26 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Composition of Experts on the SN40L Reconfigurable Dataflow Unit.

Raghu Prabhakar, Ram Sivaramakrishnan, Darshan Gandhi, Yun Du, Mingran Wang, Xiangyu Song, Kejie Zhang, Tianren Gao, Angela Wang, Xiaoyan Li, Joshua Brot, Calvin Leung, Tuowen Zhao, Mark Gottscho, Zhengyu Chen, Kaizhao Liang, Swayambhoo Jain, Urmish Thakker, Kevin J. Brown, Kunle Olukotun

IEEE Micro, 2024

Composition of Experts: A Modular Compound AI System Leveraging Large Language Models.

Swayambhoo Jain, Ravi Raju, Bo Li, Zoltan Csaki, Jonathan Li, Kaizhao Liang, Guoyao Feng, Urmish Thakkar, Anand Sampat, Raghu Prabhakar, Sumati Jairath

CoRR, 2024

Kernel Looping: Eliminating Synchronization Boundaries for Peak Inference Performance.

David Koeplinger, Darshan Gandhi, Pushkar Nandkar, Nathan Sheeley, Matheen Musaddiq, Leon Zhang, Reid Goodbar, Matthew Shaffer, Han Wang, Angela Wang, Mingran Wang, Raghu Prabhakar

CoRR, 2024

SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts.

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

CoRR, 2024

SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts.

Raghu Prabhakar, Ram Sivaramakrishnan, Darshan Gandhi, Yun Du, Mingran Wang, Xiangyu Song, Kejie Zhang, Tianren Gao, Angela Wang, Xiaoyan 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, Zhengyu Chen, Kaizhao Liang, Swayambhoo Jain, Urmish Thakker, Dawei Huang, Sumti Jairath, Kevin J. Brown, Kunle Olukotun

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Revet: A Language and Compiler for Dataflow Threads.

Alexander C. Rucker, Shiv Sundram, Coleman Smith, Matthew Vilim, Raghu Prabhakar, Fredrik Kjølstad, Kunle Olukotun

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

SambaNova SN40L RDU: Breaking the Barrier of Trillion+ Parameter Scale Gen AI Computing.

Raghu Prabhakar

Proceedings of the 36th IEEE Hot Chips Symposium, 2024

2023

Training Large Language Models Efficiently with Sparsity and Dataflow.

Venkat Srinivasan, Darshan Gandhi, Urmish Thakker, Raghu Prabhakar

CoRR, 2023

AI SoC Design Challenges in the Foundation Model Era.

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

Proceedings of the IEEE Custom Integrated Circuits Conference, 2023

2022

SambaNova SN10 RDU: A 7nm Dataflow Architecture to Accelerate Software 2.0.

Raghu Prabhakar, Sumti Jairath, Jinuk Luke Shin

Proceedings of the IEEE International Solid-State Circuits Conference, 2022

(CGRA4HPC) 2022 Invited Speaker: Pushing the Boundaries of HPC with the Integration of AI.

Raghu Prabhakar

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021

Capstan: A Vector RDA for Sparsity.

Alexander Rucker, Matthew Vilim, Tian Zhao, Yaqi Zhang, Raghu Prabhakar, Kunle Olukotun

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

SambaNova SN10 RDU: Accelerating Software 2.0 with Dataflow.

Raghu Prabhakar, Sumti Jairath

Proceedings of the IEEE Hot Chips 33 Symposium, 2021

2019

Efficient Multiway Hash Join on Reconfigurable Hardware.

Rekha Singhal, Yaqi Zhang, Jeffrey D. Ullman, Raghu Prabhakar, Kunle Olukotun

Proceedings of the Performance Evaluation and Benchmarking for the Era of Cloud(s), 2019

Scalable interconnects for reconfigurable spatial architectures.

Yaqi Zhang, Alexander Rucker, Matthew Vilim, Raghu Prabhakar, William Hwang, Kunle Olukotun

Proceedings of the 46th International Symposium on Computer Architecture, 2019

2018

Design of programmable, energy-efficient reconfigurable accelerators.

Raghu Prabhakar

PhD thesis, 2018

Plasticine: A Reconfigurable Accelerator for Parallel Patterns.

Raghu Prabhakar, Yaqi Zhang, David Koeplinger, Matthew Feldman, Tian Zhao, Stefan Hadjis, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun

IEEE Micro, 2018

Spatial: a language and compiler for application accelerators.

David Koeplinger, Matthew Feldman, Raghu Prabhakar, Yaqi Zhang, Stefan Hadjis, Ruben Fiszel, Tian Zhao, Luigi Nardi, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun

Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

2017

Plasticine: A Reconfigurable Architecture For Parallel Paterns.

Raghu Prabhakar, Yaqi Zhang, David Koeplinger, Matthew Feldman, Tian Zhao, Stefan Hadjis, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun

Proceedings of the 44th Annual International Symposium on Computer Architecture, 2017

2016

Automatic Generation of Efficient Accelerators for Reconfigurable Hardware.

David Koeplinger, Raghu Prabhakar, Yaqi Zhang, Christina Delimitrou, Christos Kozyrakis, Kunle Olukotun

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

Generating Configurable Hardware from Parallel Patterns.

Raghu Prabhakar, David Koeplinger, Kevin J. Brown, HyoukJoong Lee, Christopher De Sa, Christos Kozyrakis, Kunle Olukotun

Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, 2016

2012

A Study on the Impact of Compiler Optimizations on High-Level Synthesis.

Jason Cong, Bin Liu, Raghu Prabhakar, Peng Zhang

Proceedings of the Languages and Compilers for Parallel Computing, 2012

Towards layout-friendly high-level synthesis.

Jason Cong, Bin Liu, Guojie Luo, Raghu Prabhakar

Proceedings of the International Symposium on Physical Design, 2012

Static and dynamic co-optimizations for blocks mapping in hybrid caches.

Yu-Ting Chen, Jason Cong, Hui Huang, Chunyue Liu, Raghu Prabhakar, Glenn Reinman

Proceedings of the International Symposium on Low Power Electronics and Design, 2012

CUDA-For-Clusters: A System for Efficient Execution of CUDA Kernels on Multi-core Clusters.

Raghu Prabhakar, R. Govindarajan, Matthew J. Thazhuthaveetil

Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

Compilation and architecture support for customized vector instruction extension.

Jason Cong, Mohammad Ali Ghodrat, Michael Gill, Hui Huang, Bin Liu, Raghu Prabhakar, Glenn Reinman, Marco Vitanza

Proceedings of the 17th Asia and South Pacific Design Automation Conference, 2012