High performance matrix multiply using fused datapath operators. - Martin Langhammer (ACSCC, 2008)

Floating point datapath synthesis for FPGAs. - Martin Langhammer (FPL, 2008)

Performance potential of molecular dynamics simulations on high performance reconfigurable computing systems. - Matt Chiu; Martin C. Herbordt; Martin Langhammer (HPRCTA@SC, 2008)

FPGA Floating Point Datapath Compiler. - Martin Langhammer; Tom VanCourt (FCCM, 2009)

Cholesky decomposition using fused datapath synthesis. - Süleyman Sirri Demirsoy; Martin Langhammer (FPGA, 2009)

Multiplier architectures for FPGA double precision functions (abstract only). - Y. Hamid; Martin Langhammer (FPGA, 2010)

Teraflop FPGA Design. - Martin Langhammer (IEEE Symposium on Computer Arithmetic, 2011)

Elementary Function Implementation with Optimized Sub Range Polynomial Evaluation. - Martin Langhammer; Bogdan Pasca 001 (FCCM, 2013)

Faithful single-precision floating-point tangent for FPGAs. - Martin Langhammer; Bogdan Pasca 001 (FPGA, 2013)

Efficient floating-point polynomial evaluation on FPGAS. - Martin Langhammer; Bogdan Pasca 001 (FPL, 2013)

Tools and Techniques for Efficient High-Level System Design on FPGAs. - Adrian J. Chung; Kathryn Cobden; Mark Jervis; Martin Langhammer; Bogdan Pasca 001 (CoRR, 2014)

Design and Implementation of an Embedded FPGA Floating Point DSP Block. - Martin Langhammer; Bogdan Pasca 001 (ARITH, 2015)

Arria™ 10 device architecture. - 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; et al. (CICC, 2015)

Floating-Point DSP Block Architecture for FPGAs. - Martin Langhammer; Bogdan Pasca 001 (FPGA, 2015)

Single Precision Natural Logarithm Architecture for Hard Floating-Point and DSP-Enabled FPGAs. - Martin Langhammer; Bogdan Pasca 001 (ARITH, 2016)

QRD for Parallel Arithmetic Structures. - Martin Langhammer (ARITH, 2017)

Floating Point Tangent Implementation for FPGAs. - Martin Langhammer; Bogdan Pasca 001 (ARITH, 2017)

Single Precision Logarithm and Exponential Architectures for Hard Floating-Point Enabled FPGAs. - Martin Langhammer; Bogdan Pasca 001 (IEEE Trans. Computers, 2017)

High Density and Performance Multiplication for FPGA. - Martin Langhammer; Gregg Baeckler (ARITH, 2018)

High-Performance QR Decomposition for FPGAs. - Martin Langhammer; Bogdan Pasca 001 (FPGA, 2018)

Activation Function Architectures for FPGAs. - Bogdan Pasca 001; Martin Langhammer (FPL, 2018)

High Precision, High Performance FPGA Adders. - Martin Langhammer; Bogdan Pasca 001; Gregg Baeckler (FCCM, 2019)

Why Compete When You Can Work Together: FPGA-ASIC Integration for Persistent RNNs. - Eriko Nurvitadhi; Dongup Kwon; Ali Jafari; Andrew Boutros; Jaewoong Sim; Phillip Tomson; Huseyin Sumbul; Gregory K. Chen; Phil C. Knag; Raghavan Kumar; Ram Krishnamurthy 001; Sergey Gribok; et al. (FCCM, 2019)

Fractal Synthesis: Invited Tutorial. - Martin Langhammer; Gregg Baeckler; Sergey Gribok (FPGA, 2019)

Evaluating and Enhancing Intel® Stratix® 10 FPGAs for Persistent Real-Time AI. - Eriko Nurvitadhi; Dongup Kwon; Ali Jafari; Andrew Boutros; Jaewoong Sim; Phillip Tomson; Huseyin Sumbul; Gregory K. Chen; Phil C. Knag; Raghavan Kumar; Ram Krishnamurthy 001; Debbie Marr; et al. (FPGA, 2019)

Extracting INT8 Multipliers from INT18 Multipliers. - Martin Langhammer; Bogdan Pasca 001; Gregg Baeckler; Sergey Gribok (FPL, 2019)

BFLOAT MLP Training Accelerator for FPGAs. - Andrei Hagiescu; Martin Langhammer; Bogdan Pasca 001; Philip Colangelo; Jason Thong; Niayesh Ilkhani (ReConFig, 2019)

High Performance Scalable FPGA Accelerator for Deep Neural Networks. - Sudarshan Srinivasan; Pradeep Janedula; Saurabh Dhoble; Sasikanth Avancha; Dipankar Das 002; Naveen Mellempudi; Bharat Daga; Martin Langhammer; Gregg Baeckler; Bharat Kaul (CoRR, 2019)

Next Generation Arithmetic for Edge Computing. - Andre Guntoro; Cecilia De la Parra; Farhad Merchant; Florent de Dinechin; John L. Gustafson; Martin Langhammer; Rainer Leupers; Sangeeth Nambiar (DATE, 2020)

High Density 8-Bit Multiplier Systolic Arrays For Fpga. - Martin Langhammer; Sergey Gribok; Gregg Baeckler (FCCM, 2020)

Architectural Enhancements in Intel® Agilex™ FPGAs. - Jeffrey Chromczak; Mark Wheeler; Charles Chiasson; Dana How; Martin Langhammer; Tim Vanderhoek; Grace Zgheib; Ilya Ganusov (FPGA, 2020)

High Density Pipelined 8bit Multiplier Systolic Arrays for FPGA. - Martin Langhammer; Sergey Gribok; Gregg Baeckler (FPGA, 2020)

Beyond Peak Performance: Comparing the Real Performance of AI-Optimized FPGAs and GPUs. - Andrew Boutros; Eriko Nurvitadhi; Rui Ma; Sergey Gribok; Zhipeng Zhao; James C. Hoe; Vaughn Betz; Martin Langhammer (FPT, 2020)

EduPar-20 Keynote Speaker. - Martin Langhammer (IPDPS Workshops, 2020)

SpiderWeb - High Performance FPGA NoC. - Martin Langhammer; Gregg Baeckler; Sergey Gribok (IPDPS Workshops, 2020)

Stratix 10 NX Architecture and Applications. - Martin Langhammer; Eriko Nurvitadhi; Bogdan Pasca 001; Sergey Gribok (FPGA, 2021)

Folded Integer Multiplication for FPGAs. - Martin Langhammer; Bogdan Pasca 001 (FPGA, 2021)

Efficient FPGA Modular Multiplication Implementation. - Martin Langhammer; Bogdan Pasca 001 (FPGA, 2021)

Dense FPGA Compute Using Signed Byte Tuples. - Martin Langhammer; Simon Finn; Sergey Gribok; Bogdan Pasca 001 (FPL, 2021)

DO-GPU: Domain Optimizable Soft GPUs. - Rui Ma; Jia-Ching Hsu; Tian Tan 007; Eriko Nurvitadhi; Rajesh Vivekanandham; Aravind Dasu; Martin Langhammer; Derek Chiou (FPL, 2021)

FlexScore: Quantifying Flexibility. - Tian Tan 007; Eriko Nurvitadhi; Aravind Dasu; Martin Langhammer; Derek Chiou (IEEE Comput. Archit. Lett., 2021)

Specializing FGPU for Persistent Deep Learning. - Rui Ma; Jia-Ching Hsu; Tian Tan 007; Eriko Nurvitadhi; David Sheffield; Rob Pelt; Martin Langhammer; Jaewoong Sim; Aravind Dasu; Derek Chiou (ACM Trans. Reconfigurable Technol. Syst., 2021)

Low-Latency Modular Exponentiation for FPGAs. - Martin Langhammer; Sergey Gribok; Bogdan Pasca 001 (FCCM, 2022)

Stratix 10 NX Architecture. - Martin Langhammer; Eriko Nurvitadhi; Sergey Gribok; Bogdan Pasca 001 (ACM Trans. Reconfigurable Technol. Syst., 2022)

Extracting low-precision floating-point adders from embedded hard FP DSP Blocks on FPGAs. - Bogdan Pasca 001; Martin Langhammer (ARITH, 2023)

eGPU: A 750 MHz Class Soft GPGPU for FPGA. - Martin Langhammer; George A. Constantinides (FPL, 2023)

HyperBlock Floating Point: Generalised Quantization Scheme for Gradient and Inference Computation. - Marcelo Gennari Do Nascimento; Victor Adrian Prisacariu; Roger Fawcett; Martin Langhammer (WACV, 2023)

Microscaling Data Formats for Deep Learning. - 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; et al. (CoRR, 2023)

Multiplier Architecture with a Carry-Based Partial Product Encoding. - Martin Langhammer; Bogdan Pasca 001; Igor Kucherenko (ARITH, 2024)

A Statically and Dynamically Scalable Soft GPGPU. - Martin Langhammer; George A. Constantinides (FPGA, 2024)

FPGA Modular Multipliers using Hybrid Reduction Techniques. - Sergey Gribok; Martin Langhammer; Bogdan Pasca 001 (FPL, 2024)

Soft GPGPU versus IP cores: Quantifying and Reducing the Performance Gap. - Martin Langhammer; George A. Constantinides (HEART, 2024)

CSAIL2019 Crypto-Puzzle Solver Architecture. - Sergey Gribok; Bogdan Pasca 001; Martin Langhammer (ACM Trans. Reconfigurable Technol. Syst., 2024)

Banked Memories for Soft SIMT Processors. - Martin Langhammer; George A. Constantinides (FCCM, 2025)

StruM: Structured Mixed Precision for Efficient Deep Learning Hardware Codesign. - Michael Wu 001; Arnab Raha; Deepak A. Mathaikutty; Martin Langhammer; Nihat Engin Tunali (CoRR, 2025)

A 950 MHz SIMT Soft Processor. - Martin Langhammer; Gregg Baeckler; Kim Bozman (CoRR, 2025)