high performance computing on graphics processing units: hgpu.org

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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

Compiling Stream Applications for Heterogeneous Architectures

Amir H. Hormati

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Tags: Compilers, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, Optimization, Tesla C2050, Thesis

October 28, 2011 by hgpu

A Parallel Ray Tracing Architecture Suitable for Application-Specific Hardware and GPGPU Implementations

Alexandre S. Nery, Nadia Nedjah, Felipe M.G. Franca, Lech Jozwiak

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 465, Raytracing, Rendering, Virtual reality

October 23, 2011 by hgpu

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

Fuat Keceli

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Source codes

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

October 23, 2011 by hgpu

Dataflow-based Design and Implementation of Image Processing Applications

Chung-Ching Shen, William Plishker, Shuvra S. Bhattacharyya

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Tags: CUDA, DSP, FPGA, Image processing, nVidia, nVidia GeForce GTX 285, Signal processing

October 23, 2011 by hgpu

Accelerating molecular docking and binding site mapping using FPGAs and GPUs

Bharat Sukhwani

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Tags: Algorithms, Biology, Biomechanics, CUDA, FPGA, Molecular modeling, nVidia, Tesla C1060, Thesis

October 22, 2011 by hgpu

A prototyping environment for high performance reconfigurable computing

George Afonso, Rabie Ben Atitallah, Alexandre Loyer, Jean-Luc Dekeyser, Nicolas Belanger, Martial Rubio

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Tags: Computer science, FPGA, Heterogeneous systems

October 20, 2011 by hgpu

The Potential for a GPU-Like Overlay Architecture for FPGAs

Jeffrey Kingyens, J. Gregory Steffan

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Tags: ATI, ATI CTM, ATI Radeon X1950, Computer science, FPGA, Performance

October 19, 2011 by hgpu

Heterogeneous Accelerated Bioinformatics-Perspectives for Cancer Research

Eric A. Stahlberg, T. Steinke, M. C. Smith, S. Chandrasekaran, B. Chapman

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Tags: Bioinformatics, Biology, CUDA, FPGA, Heterogeneous systems, Medicine, nVidia, OpenCL, Review

October 19, 2011 by hgpu

Characterization of FPGA-based High Performance Computers

Karl Savio Pimenta Pereira

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Tags: Algorithms, Benchmarking, Chemistry, Computer science, CUDA, DSP, FFT, FPGA, Molecular dynamics, nVidia, nVidia GeForce GTX 280, OpenCL, Tesla C2050, Thesis

October 18, 2011 by hgpu

An Analysis of Programmer Productivity versus Performance for High Level Data Parallel Programming

Alex Cole, Alistair McEwan, Satnam Singh

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Tags: Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 460, Programming techniques

October 14, 2011 by hgpu

High Performance Computing with Accelerators

K.A. Akshita

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Tags: Cell processor, Computer science, FPGA, nVidia, Performance, Review

October 12, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Exploring Many-Core Design Templates for FPGAs and ASICs

Compiling Stream Applications for Heterogeneous Architectures

A Parallel Ray Tracing Architecture Suitable for Application-Specific Hardware and GPGPU Implementations

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

Dataflow-based Design and Implementation of Image Processing Applications

Accelerating molecular docking and binding site mapping using FPGAs and GPUs

A prototyping environment for high performance reconfigurable computing

The Potential for a GPU-Like Overlay Architecture for FPGAs

Heterogeneous Accelerated Bioinformatics-Perspectives for Cancer Research

Characterization of FPGA-based High Performance Computers

An Analysis of Programmer Productivity versus Performance for High Level Data Parallel Programming

High Performance Computing with Accelerators

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

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