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Bridging the Gap between FPGAs and Multi-Processor Architectures: A Video Processing Perspective

Ben Cope, Peter Y.K. Cheung, Wayne Luk

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Tags: Algorithms, Cg, Computer science, FPGA, GLSL, nVidia, nVidia GeForce 7800 GTX, OpenGL, Performance

July 24, 2011 by hgpu

Accelerating high-level engineering computations by automatic compilation of Geometric Algebra to hardware accelerators

Jens Huthmann, Peter Muller, Florian Stock, Dietmar Hildenbrand, Andreas Koch

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Tags: CAD, Computer science, FPGA, nVidia, nVidia GeForce GTX 280

July 18, 2011 by hgpu

Dynamic scheduling Monte-Carlo framework for multi-accelerator heterogeneous clusters

Anson H.T. Tse, David B. Thomas, K.H. Tsoi, Wayne Luk

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, Monte Carlo simulation, nVidia, Tesla C1060

July 17, 2011 by hgpu

Fast and Efficient FPGA-Based Feature Detection Employing the SURF Algorithm

Dimitris Bouris, Antonis Nikitakis, Ioannis Papaefstathiou

Tags: Computer vision, FPGA, Image processing

July 14, 2011 by hgpu

A Sparse Matrix Personality for the Convey HC-1

Krishna K. Nagar, Jason D. Bakos

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Tags: Computer science, CUDA, FPGA, nVidia, Performance, Sparse matrix, Tesla S1070

July 14, 2011 by hgpu

Option pricing with multi-dimensional quadrature architectures

Anson H.T. Tse, David B. Thomas, Wayne Luk

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Tags: Finance, FPGA, nVidia, nVidia GeForce 8600 GT, Performance, Tesla C1060

July 14, 2011 by hgpu

Design and performance evaluation of a digital wideband receiver on a hybrid computing platform

Kiran George, Chien-In Henry Chen

Tags: FPGA, nVidia, Signal processing, Tesla C2050

July 12, 2011 by hgpu

A Comparison of FPGA and GPU for Real-Time Phase-based Optical Flow, Stereo, and Local Image Features

Karl Pauwels, Matteo Tomasi, Javier Diaz Alonso, Eduardo Ros, Marc M. Van Hulle

Tags: Computer science, Computer vision, FPGA, Optical flow, Performance

July 10, 2011 by hgpu

FPGA and GPU implementation of large scale SpMV

Yi Shan, Tianji Wu, Yu Wang, Bo Wang, Zilong Wang, Ningyi Xu, Huazhong Yang

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Tags: ATI, ATI CAL, ATI IL, ATI Radeon HD 5870, ATI Stream, Computer science, FPGA, Sparse matrix

July 10, 2011 by hgpu

Parallelizing FPGA Technology Mapping Using Graphics Processing Units (GPUs)

Doris Chen, Deshanand Singh

Tags: Algorithms, Computer science, FPGA

July 7, 2011 by hgpu

Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing

Brahim Betkaoui, David B. Thomas, Wayne Luk

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Tags: Computer science, CUDA, Energy-efficient computing, FPGA, nVidia, Performance, Tesla C1060

July 7, 2011 by hgpu

Pattern Recognition with Embedded Systems Technology: A Survey

Juan-Carlos Perez-Cortes, Jose-Luis Guardiola, Alberto-Jose Perez-Jimenez

Tags: Computer science, Computer vision, FPGA, Pattern recognition

July 4, 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

Bridging the Gap between FPGAs and Multi-Processor Architectures: A Video Processing Perspective

Accelerating high-level engineering computations by automatic compilation of Geometric Algebra to hardware accelerators

Dynamic scheduling Monte-Carlo framework for multi-accelerator heterogeneous clusters

Fast and Efficient FPGA-Based Feature Detection Employing the SURF Algorithm

A Sparse Matrix Personality for the Convey HC-1

Option pricing with multi-dimensional quadrature architectures

Design and performance evaluation of a digital wideband receiver on a hybrid computing platform

A Comparison of FPGA and GPU for Real-Time Phase-based Optical Flow, Stereo, and Local Image Features

FPGA and GPU implementation of large scale SpMV

Parallelizing FPGA Technology Mapping Using Graphics Processing Units (GPUs)

Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing

Pattern Recognition with Embedded Systems Technology: A Survey

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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