high performance computing on graphics processing units: hgpu.org

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TABLA: A Unified Template-based Framework for Accelerating Statistical Machine Learning

Divya Mahajan, Jongse Park, Emmanuel Amaro, Hardik Sharma, Amir Yazdanbakhsh, Joon Kim, Hadi Esmaeilzadeh

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Tags: ARM, ASIC, Computer science, FPGA, Machine learning, nVidia, nVidia GeForce GTX 650 Ti, nVidia Jetson TK1, Performance, Tesla K40

September 29, 2015 by hgpu

RadixBoost: A Hardware Acceleration Structure for Scalable Radix Sort on Graphic Processors

Xingyu Liu, Shikai Li, Kuan Fang, Yufei Ni, Zonghui Li, Yangdong Deng

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Tags: Algorithms, ASIC, Computer science, FPGA, nVidia, nVidia GeForce GTX 580, Sorting

March 12, 2015 by hgpu

FastTree: A Hardware KD-Tree Construction Acceleration Engine for Real-Time Ray Tracing

Xingyu Liu, Yangdong Deng, Yufei Ni, Zonghui Li

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Tags: Algorithms, ASIC, Computer science, FPGA, KD-tree, Raytracing, Rendering

March 12, 2015 by hgpu

FPGA Acceleration of Multifunction Printer Image Processing using OpenCL

Timothy M. Hunter, Dmitry Denisenko, Sarnath Kannan, Jared M. Bold, Prasanthi Thippabathini, Peter Dusel P.E.

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Tags: ASIC, FPGA, Image processing, OpenCL

August 5, 2014 by hgpu

Bitcoin and The Age of Bespoke Silicon

Michael Bedford Taylor

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Tags: ASIC, ATI, Finance, FPGA, nVidia, OpenCL, Performance, Review

August 31, 2013 by hgpu

Resource-Aware Compiler Prefetching for Fine-Grained Many-Cores

George C. Caragea, Alexandros Tzannes, Fuat Keceli, Rajeev Barua, Uzi Vishkin

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Tags: Algorithms, ASIC, Benchmarking, Computer science, Memory level parallelism, nVidia, Package, Prefetch

December 29, 2011 by hgpu

FPGA and ASIC Convergence

C. Valderrama, L. Jojczyk, P. DaCunha Possa, J. Dondo Gazzano

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Tags: ASIC, Computer science, FPGA, Overview

November 17, 2011 by hgpu

Exploring Many-Core Design Templates for FPGAs and ASICs

Ilia Lebedev, Christopher Fletcher, Shaoyi Cheng, James Martin, Austin Doupnik, Daniel Burke, Mingjie Lin, John Wawrzynek

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Tags: ASIC, Bayesian, Computer science, FPGA, nVidia, nVidia GeForce GTX 580, OpenCL, Performance

October 30, 2011 by hgpu

Power and Performance Studies of the Explicit Multi-Threading (XMT) Architecture

Fuat Keceli

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Tags: Algorithms, ASIC, Benchmarking, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, Package, Performance, Thesis

October 23, 2011 by hgpu

Brief announcement: better speedups for parallel max-flow

George Constantin Caragea, Uzi Vishkin

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Tags: Algorithms, ASIC, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, Performance

September 20, 2011 by hgpu

Towards an embedded biologically-inspired machine vision processor

Vinay Sriram, David Cox, Kuen Hung Tsoi, Wayne Luk

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Tags: Algorithms, ASIC, Computer science, Computer vision, FPGA, Image recognition, nVidia, Tesla C1060

August 1, 2011 by hgpu

Evaluating the potential of graphics processors for high performance embedded computing

Shuai Mu, Chenxi Wang, Ming Liu, Dongdong Li, Maohua Zhu, Xiaoliang Chen, Xiang Xie, Yangdong Deng

Tags: ASIC, Benchmarking, Computer science, DSP, Embedded high-performance computing

May 30, 2011 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

TABLA: A Unified Template-based Framework for Accelerating Statistical Machine Learning

RadixBoost: A Hardware Acceleration Structure for Scalable Radix Sort on Graphic Processors

FastTree: A Hardware KD-Tree Construction Acceleration Engine for Real-Time Ray Tracing

FPGA Acceleration of Multifunction Printer Image Processing using OpenCL

Bitcoin and The Age of Bespoke Silicon

Resource-Aware Compiler Prefetching for Fine-Grained Many-Cores

FPGA and ASIC Convergence

Exploring Many-Core Design Templates for FPGAs and ASICs

Power and Performance Studies of the Explicit Multi-Threading (XMT) Architecture

Brief announcement: better speedups for parallel max-flow

Towards an embedded biologically-inspired machine vision processor

Evaluating the potential of graphics processors for high performance embedded computing

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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