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ORCIDMartin Langhammer
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- affiliation: Intel
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2020 – today
- 2024
[j5]Sergey Gribok
, Bogdan Pasca, Martin Langhammer:
CSAIL2019 Crypto-Puzzle Solver Architecture. ACM Trans. Reconfigurable Technol. Syst. 17(3): 44:1-44:32 (2024)- [c47]Martin Langhammer, Bogdan Pasca, Igor Kucherenko:
Multiplier Architecture with a Carry-Based Partial Product Encoding. ARITH 2024: 104-107 - [c46]Martin Langhammer, George A. Constantinides:
A Statically and Dynamically Scalable Soft GPGPU. FPGA 2024: 165-175 - [c45]Sergey Gribok, Martin Langhammer, Bogdan Pasca:
FPGA Modular Multipliers using Hybrid Reduction Techniques. FPL 2024: 288-296 - [c44]Martin Langhammer, George A. Constantinides:
Soft GPGPU versus IP cores: Quantifying and Reducing the Performance Gap. HEART 2024: 44-52 - [i6]Martin Langhammer, George A. Constantinides:
A Statically and Dynamically Scalable Soft GPGPU. CoRR abs/2401.04261 (2024) - [i5]Martin Langhammer, George A. Constantinides:
Soft GPGPU versus IP cores: Quantifying and Reducing the Performance Gap. CoRR abs/2406.03227 (2024) - 2023
- [c43]Bogdan Pasca, Martin Langhammer:
Extracting low-precision floating-point adders from embedded hard FP DSP Blocks on FPGAs. ARITH 2023: 139-142 - [c42]Sergey Gribok, Bogdan Pasca, Martin Langhammer:
CSAIL2019 Crypto-Puzzle Solver Architecture. FPGA 2023: 197-207 - [c41]Martin Langhammer, George A. Constantinides:
eGPU: A 750 MHz Class Soft GPGPU for FPGA. FPL 2023: 277-282 - [c40]Marcelo Gennari Do Nascimento, Victor Adrian Prisacariu, Roger Fawcett, Martin Langhammer:
HyperBlock Floating Point: Generalised Quantization Scheme for Gradient and Inference Computation. WACV 2023: 6353-6362 - [i4]Martin Langhammer, George A. Constantinides:
eGPU: A 750 MHz Class Soft GPGPU for FPGA. CoRR abs/2307.08378 (2023) - [i3]Bita Darvish Rouhani, Ritchie Zhao, Ankit More, Mathew Hall, Alireza Khodamoradi, Summer Deng, Dhruv Choudhary, Marius Cornea, Eric Dellinger, Kristof Denolf, Dusan Stosic, Venmugil Elango, Maximilian Golub, Alexander Heinecke, Phil James-Roxby, Dharmesh Jani, Gaurav Kolhe, Martin Langhammer, Ada Li, Levi Melnick, Maral Mesmakhosroshahi, Andres Rodriguez, Michael Schulte, Rasoul Shafipour, Lei Shao, Michael Y. Siu, Pradeep Dubey, Paulius Micikevicius, Maxim Naumov, Colin Verilli, Ralph Wittig, Doug Burger, Eric S. Chung:
Microscaling Data Formats for Deep Learning. CoRR abs/2310.10537 (2023) - 2022
- [j4]Martin Langhammer, Eriko Nurvitadhi, Sergey Gribok, Bogdan Pasca:
Stratix 10 NX Architecture. ACM Trans. Reconfigurable Technol. Syst. 15(4): 45:1-45:32 (2022) - [c39]Martin Langhammer, Sergey Gribok, Bogdan Pasca:
Low-Latency Modular Exponentiation for FPGAs. FCCM 2022: 1-9 - 2021
- [j3]Tian Tan, Eriko Nurvitadhi, Aravind Dasu, Martin Langhammer, Derek Chiou:
FlexScore: Quantifying Flexibility. IEEE Comput. Archit. Lett. 20(1): 58-61 (2021) - [j2]Rui Ma, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, David Sheffield, Rob Pelt, Martin Langhammer, Jaewoong Sim, Aravind Dasu, Derek Chiou:
Specializing FGPU for Persistent Deep Learning. ACM Trans. Reconfigurable Technol. Syst. 14(2): 10:1-10:23 (2021) - [c38]Martin Langhammer, Eriko Nurvitadhi, Bogdan Pasca, Sergey Gribok:
Stratix 10 NX Architecture and Applications. FPGA 2021: 57-67 - [c37]Martin Langhammer, Bogdan Pasca:
Folded Integer Multiplication for FPGAs. FPGA 2021: 160-170 - [c36]Martin Langhammer, Bogdan Pasca:
Efficient FPGA Modular Multiplication Implementation. FPGA 2021: 217-223 - [c35]Martin Langhammer, Simon Finn, Sergey Gribok, Bogdan Pasca:
Dense FPGA Compute Using Signed Byte Tuples. FPL 2021: 130-138 - [c34]Rui Ma, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, Rajesh Vivekanandham, Aravind Dasu, Martin Langhammer, Derek Chiou:
DO-GPU: Domain Optimizable Soft GPUs. FPL 2021: 140-144 - 2020
- [c33]Andre Guntoro, Cecilia De la Parra, Farhad Merchant, Florent de Dinechin, John L. Gustafson, Martin Langhammer, Rainer Leupers, Sangeeth Nambiar:
Next Generation Arithmetic for Edge Computing. DATE 2020: 1357-1365 - [c32]Martin Langhammer, Sergey Gribok, Gregg Baeckler:
High Density 8-Bit Multiplier Systolic Arrays For Fpga. FCCM 2020: 84-92 - [c31]Jeffrey Chromczak, Mark Wheeler, Charles Chiasson, Dana How, Martin Langhammer, Tim Vanderhoek, Grace Zgheib, Ilya Ganusov:
Architectural Enhancements in Intel® Agilex™ FPGAs. FPGA 2020: 140-149 - [c30]Martin Langhammer, Sergey Gribok, Gregg Baeckler:
High Density Pipelined 8bit Multiplier Systolic Arrays for FPGA. FPGA 2020: 322 - [c29]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 - [c28]Martin Langhammer, Gregg Baeckler, Sergey Gribok:
SpiderWeb - High Performance FPGA NoC. IPDPS Workshops 2020: 115-118 - [c27]Martin Langhammer:
EduPar-20 Keynote Speaker. IPDPS Workshops 2020: 250
2010 – 2019
- 2019
- [c26]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 - [c25]Martin Langhammer, Bogdan Pasca, Gregg Baeckler:
High Precision, High Performance FPGA Adders. FCCM 2019: 298-306 - [c24]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 - [c23]Martin Langhammer, Gregg Baeckler, Sergey Gribok:
Fractal Synthesis: Invited Tutorial. FPGA 2019: 202-211 - [c22]Martin Langhammer, Bogdan Pasca, Gregg Baeckler, Sergey Gribok:
Extracting INT8 Multipliers from INT18 Multipliers. FPL 2019: 114-120 - [c21]Rui Ma, Derek Chiou, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, David Sheffield, Rob Pelt, Martin Langhammer, Jaewoong Sim, Aravind Dasu:
Specializing FGPU for Persistent Deep Learning. FPL 2019: 326-333 - [c20]Andrei Hagiescu, Martin Langhammer, Bogdan Pasca, Philip Colangelo, Jason Thong, Niayesh Ilkhani:
BFLOAT MLP Training Accelerator for FPGAs. ReConFig 2019: 1-5 - [e1]Naofumi Takagi, Sylvie Boldo, Martin Langhammer:
26th IEEE Symposium on Computer Arithmetic, ARITH 2019, Kyoto, Japan, June 10-12, 2019. IEEE 2019, ISBN 978-1-7281-3366-9 [contents] - [i2]Sudarshan Srinivasan, Pradeep Janedula, Saurabh Dhoble, Sasikanth Avancha, Dipankar Das, Naveen Mellempudi, Bharat Daga, Martin Langhammer, Gregg Baeckler, Bharat Kaul:
High Performance Scalable FPGA Accelerator for Deep Neural Networks. CoRR abs/1908.11809 (2019) - 2018
- [c19]Martin Langhammer, Gregg Baeckler:
High Density and Performance Multiplication for FPGA. ARITH 2018: 5-12 - [c18]Martin Langhammer, Bogdan Pasca:
High-Performance QR Decomposition for FPGAs. FPGA 2018: 183-188 - [c17]Bogdan Pasca, Martin Langhammer:
Activation Function Architectures for FPGAs. FPL 2018: 43-50 - 2017
- [j1]Martin Langhammer, Bogdan Pasca:
Single Precision Logarithm and Exponential Architectures for Hard Floating-Point Enabled FPGAs. IEEE Trans. Computers 66(12): 2031-2043 (2017) - [c16]Martin Langhammer, Bogdan Pasca:
Floating Point Tangent Implementation for FPGAs. ARITH 2017: 64-65 - [c15]Martin Langhammer:
QRD for Parallel Arithmetic Structures. ARITH 2017: 146-147 - 2016
- [c14]Martin Langhammer, Bogdan Pasca:
Single Precision Natural Logarithm Architecture for Hard Floating-Point and DSP-Enabled FPGAs. ARITH 2016: 164-171 - 2015
- [c13]Martin Langhammer, Bogdan Pasca:
Design and Implementation of an Embedded FPGA Floating Point DSP Block. ARITH 2015: 26-33 - [c12]Jeffrey Tyhach, Mike Hutton, Sean Atsatt, Arifur Rahman, Brad Vest, David M. Lewis, Martin Langhammer, Sergey Y. Shumarayev, Tim Hoang, Allen Chan, Dong-Myung Choi, Dan Oh, Hae-Chang Lee, Jack Chui, Ket Chiew Sia, Edwin Kok, Wei-Yee Koay, Boon-Jin Ang:
Arria™ 10 device architecture. CICC 2015: 1-8 - [c11]Martin Langhammer, Bogdan Pasca:
Floating-Point DSP Block Architecture for FPGAs. FPGA 2015: 117-125 - 2014
- [i1]Adrian J. Chung, Kathryn Cobden, Mark Jervis, Martin Langhammer, Bogdan Pasca:
Tools and Techniques for Efficient High-Level System Design on FPGAs. CoRR abs/1408.4797 (2014) - 2013
- [c10]Martin Langhammer, Bogdan Pasca:
Elementary Function Implementation with Optimized Sub Range Polynomial Evaluation. FCCM 2013: 202-205 - [c9]Martin Langhammer, Bogdan Pasca:
Faithful single-precision floating-point tangent for FPGAs. FPGA 2013: 39-42 - [c8]Martin Langhammer, Bogdan Pasca:
Efficient floating-point polynomial evaluation on FPGAS. FPL 2013: 1-6 - 2011
- [c7]Martin Langhammer:
Teraflop FPGA Design. IEEE Symposium on Computer Arithmetic 2011: 187-188 - 2010
- [c6]Y. Hamid, Martin Langhammer:
Multiplier architectures for FPGA double precision functions (abstract only). FPGA 2010: 287
2000 – 2009
- 2009
- [c5]Martin Langhammer, Tom VanCourt:
FPGA Floating Point Datapath Compiler. FCCM 2009: 259-262 - [c4]Süleyman Sirri Demirsoy, Martin Langhammer:
Cholesky decomposition using fused datapath synthesis. FPGA 2009: 241-244 - 2008
- [c3]Martin Langhammer:
High performance matrix multiply using fused datapath operators. ACSCC 2008: 153-159 - [c2]Martin Langhammer:
Floating point datapath synthesis for FPGAs. FPL 2008: 355-360 - [c1]Matt Chiu, Martin C. Herbordt, Martin Langhammer:
Performance potential of molecular dynamics simulations on high performance reconfigurable computing systems. HPRCTA@SC 2008: 1-10
Coauthor Index
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last updated on 2024-11-07 20:34 CET by the dblp team
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