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Introduction to the Special Issue on Digital Signal Processing in Radio Astronomy

Danny C. Price, Jonathon Kocz, Matthew Bailes, Lincoln J. Greenhill

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Tags: Astrophysics, CUDA, DSP, FPGA, nVidia, Overview, Signal processing

February 7, 2017 by hgpu

Accelerating Workloads on FPGAs via OpenCL: A Case Study with OpenDwarfs

Anshuman Verma, Ahmed E. Helal, Konstantinos Krommydas, Wu-Chun Feng

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Tags: Computer science, FPGA, Intel Xeon Phi, N-body simulation, nVidia, OpenCL, performance portability, Tesla C2070, Tesla K20

January 26, 2017 by hgpu

Astrophysical-oriented Computational multi-Architectural Framework

Dzmitry Razmyslovich

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Tags: Astrophysics, Benchmarking, Computer science, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL, Thesis

January 23, 2017 by hgpu

An OpenCL(TM) Deep Learning Accelerator on Arria 10

Utku Aydonat, Shane O'Connell, Davor Capalija, Andrew C. Ling, Gordon R. Chiu

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Tags: CNN, Computer science, Computer vision, Deep learning, FPGA, OpenCL, Performance

January 16, 2017 by hgpu

An FPGA Accelerator for Molecular Dynamics Simulation Using OpenCL

Hasitha Muthumala Waidyasooriya, Masanori Hariyama, Kota Kasahara

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Tags: Chemistry, FPGA, Heterogeneous systems, Molecular dynamics, OpenCL, Performance, Physics

January 10, 2017 by hgpu

An initial performance review of software components for a heterogeneous computing platform

Ivan Svogor

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Tags: ATI, ATI Radeon HD 7750, Computer science, Energy-efficient computing, FPGA, Heterogeneous systems, OpenCL, Performance, Robotics

January 4, 2017 by hgpu

Efficient Realization of Householder Transform through Algorithm-Architecture Co-design for Acceleration of QR Factorization

Farhad Merchant, Tarun Vatwani, Anupam Chattopadhyay, Soumyendu Raha, S K Nandy, Ranjani Narayan

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Tags: Algorithms, Computer science, CUDA, Factorization, FPGA, Linear Algebra, Mathematical Software, Matrix multiplication, nVidia, Performance, Tesla C2050

December 17, 2016 by hgpu

ESE: Efficient Speech Recognition Engine with Compressed LSTM on FPGA

Song Han, Junlong Kang, Huizi Mao, Yiming Hu, Xin Li, Yubin Li, Dongliang Xie, Hong Luo, Song Yao, Yu Wang, Huazhong Yang, William J. Dally

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Tags: Computer science, CUDA, Deep learning, FPGA, LSTM, Machine learning, nVidia, nVidia GeForce GTX Titan X, Speech recognition

December 6, 2016 by hgpu

Accelerating string tokenization with FPGAs for IoT data handling equipment

Kazuhiro Yamato

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Tags: Computer science, FPGA, IoT, OpenCL

December 3, 2016 by hgpu

Hardware thread reordering to boost OpenCL throughput on FPGAs

Amir Momeni, Hamed Tabkhi, Gunar Schirner, David Kaeli

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Tags: Computer science, FPGA, Hardware, OpenCL, Performance

November 30, 2016 by hgpu

Processing OLTP Workloads on Hybrid CPU/GPU Systems

Mudit Bhatnagar

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Tags: Computer science, Databases, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GT 640, nVidia GeForce GTX Titan, OpenCL, Thesis

November 22, 2016 by hgpu

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

RDMA Point-to-Point Communication for LLM Systems

LC Framework

Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs

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high performance computing on graphics processing units: hgpu.org

Introduction to the Special Issue on Digital Signal Processing in Radio Astronomy

Accelerating Workloads on FPGAs via OpenCL: A Case Study with OpenDwarfs

Astrophysical-oriented Computational multi-Architectural Framework

An OpenCL(TM) Deep Learning Accelerator on Arria 10

An FPGA Accelerator for Molecular Dynamics Simulation Using OpenCL

An initial performance review of software components for a heterogeneous computing platform

Efficient Realization of Householder Transform through Algorithm-Architecture Co-design for Acceleration of QR Factorization

ESE: Efficient Speech Recognition Engine with Compressed LSTM on FPGA

Accelerating string tokenization with FPGAs for IoT data handling equipment

Hardware thread reordering to boost OpenCL throughput on FPGAs

Processing OLTP Workloads on Hybrid CPU/GPU Systems

Recent source codes

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

LC Framework

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