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Sergey Gribok
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- affiliation: Intel, Santa Clara, CA, USA
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2020 – today
- 2024
- [j3]Sergey Gribok
, Bogdan Pasca
, Martin Langhammer
:
CSAIL2019 Crypto-Puzzle Solver Architecture. ACM Trans. Reconfigurable Technol. Syst. 17(3): 44:1-44:32 (2024) - [c17]Sergey Gribok, Bogdan Pasca:
Efficient 8-bit Matrix Multiplication on Intel Agilex-5 FPGAs. FCCM 2024: 43-53 - [c16]Shahzad Ahmad Butt, Benjamin Reynolds, Veeraraghavan Ramamurthy, Xiao Xiao, Pohrong Chu, Setareh Sharifian, Sergey Gribok, Bogdan Pasca:
if-ZKP: Intel FPGA-Based Acceleration of Zero Knowledge Proofs. FCCM 2024: 212 - [c15]Taikun Zhang, Andrew Boutros, Sergey Gribok, Kwadwo Boateng, Vaughn Betz:
Stay Flexible: A High-Performance FPGA NPU Overlay for Graph Neural Networks. FCCM 2024: 222 - [c14]Taikun Zhang, Andrew Boutros, Sergey Gribok, Kwadwo Boateng, Vaughn Betz:
A Software-Programmable Neural Processing Unit for Graph Neural Network Inference on FPGAs. FPL 2024: 187-196 - [c13]Sergey Gribok, Martin Langhammer, Bogdan Pasca:
FPGA Modular Multipliers using Hybrid Reduction Techniques. FPL 2024: 288-296 - [i1]Shahzad Ahmad Butt, Benjamin Reynolds, Veeraraghavan Ramamurthy, Xiao Xiao, Pohrong Chu, Setareh Sharifian, Sergey Gribok, Bogdan Pasca:
if-ZKP: Intel FPGA-Based Acceleration of Zero Knowledge Proofs. CoRR abs/2412.12481 (2024) - 2023
- [c12]Sergey Gribok
, Bogdan Pasca
, Martin Langhammer
:
CSAIL2019 Crypto-Puzzle Solver Architecture. FPGA 2023: 197-207 - 2022
- [j2]Rui Ma
, Evangelos Georganas, Alexander Heinecke, Sergey Gribok
, Andrew Boutros
, Eriko Nurvitadhi:
FPGA-Based AI Smart NICs for Scalable Distributed AI Training Systems. IEEE Comput. Archit. Lett. 21(2): 49-52 (2022) - [j1]Martin Langhammer
, Eriko Nurvitadhi, Sergey Gribok, Bogdan Pasca
:
Stratix 10 NX Architecture. ACM Trans. Reconfigurable Technol. Syst. 15(4): 45:1-45:32 (2022) - [c11]Martin Langhammer, Sergey Gribok, Bogdan Pasca
:
Low-Latency Modular Exponentiation for FPGAs. FCCM 2022: 1-9 - 2021
- [c10]Martin Langhammer, Eriko Nurvitadhi, Bogdan Pasca
, Sergey Gribok:
Stratix 10 NX Architecture and Applications. FPGA 2021: 57-67 - [c9]Martin Langhammer, Simon Finn, Sergey Gribok, Bogdan Pasca
:
Dense FPGA Compute Using Signed Byte Tuples. FPL 2021: 130-138 - 2020
- [c8]Martin Langhammer, Sergey Gribok, Gregg Baeckler:
High Density 8-Bit Multiplier Systolic Arrays For Fpga. FCCM 2020: 84-92 - [c7]Martin Langhammer, Sergey Gribok, Gregg Baeckler:
High Density Pipelined 8bit Multiplier Systolic Arrays for FPGA. FPGA 2020: 322 - [c6]Andrew Boutros, Eriko Nurvitadhi, Rui Ma, Sergey Gribok, Zhipeng Zhao, James C. Hoe, Vaughn Betz, Martin Langhammer:
Beyond Peak Performance: Comparing the Real Performance of AI-Optimized FPGAs and GPUs. FPT 2020: 10-19 - [c5]Martin Langhammer, Gregg Baeckler, Sergey Gribok:
SpiderWeb - High Performance FPGA NoC. IPDPS Workshops 2020: 115-118
2010 – 2019
- 2019
- [c4]Eriko Nurvitadhi, Dongup Kwon, Ali Jafari, Andrew Boutros, Jaewoong Sim, Phillip Tomson, Huseyin Sumbul, Gregory K. Chen, Phil C. Knag, Raghavan Kumar, Ram Krishnamurthy, Sergey Gribok, Bogdan Pasca
, Martin Langhammer, Debbie Marr, Aravind Dasu:
Why Compete When You Can Work Together: FPGA-ASIC Integration for Persistent RNNs. FCCM 2019: 199-207 - [c3]Eriko Nurvitadhi, Dongup Kwon, Ali Jafari, Andrew Boutros, Jaewoong Sim, Phillip Tomson, Huseyin Sumbul, Gregory K. Chen, Phil C. Knag, Raghavan Kumar, Ram Krishnamurthy, Debbie Marr, Sergey Gribok, Bogdan Pasca
, Martin Langhammer, Aravind Dasu:
Evaluating and Enhancing Intel® Stratix® 10 FPGAs for Persistent Real-Time AI. FPGA 2019: 119 - [c2]Martin Langhammer, Gregg Baeckler, Sergey Gribok:
Fractal Synthesis: Invited Tutorial. FPGA 2019: 202-211 - [c1]Martin Langhammer, Bogdan Pasca
, Gregg Baeckler, Sergey Gribok:
Extracting INT8 Multipliers from INT18 Multipliers. FPL 2019: 114-120
Coauthor Index
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last updated on 2025-01-22 20:34 CET by the dblp team
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