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A Design Framework for Mapping Dataflow Graphs onto Heterogeneous Multiprocessor Platforms

Shuoxin Lin

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Tags: Benchmarking, Computer science, CUDA, DSP, Heterogeneous systems, nVidia, nVidia GeForce GTX 680, Thesis

September 29, 2015 by hgpu

Advanced Simulation Library: Expanding software ecosystem for the DSP/FPGA/GPU market

Avtech Scientific

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Source codes

Tags: DSP, FPGA, OpenCL, Package, Physics, Presentation

September 3, 2015 by hgpu

A Domain-specific Language to Facilitate Software Defined Radio Parallel Executable Patterns Deployment on Heterogeneous Architectures

Lerato J. Mohapi, Simon Winberg, Michael Inggs

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Tags: Algorithms, CUDA, DSP, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Signal processing

December 22, 2014 by hgpu

SignalPU: A programming model for DSP applications on parallel and heterogeneous clusters

Farouk Mansouri, Sylvain Huet, Dominique Houzet

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Tags: Algorithms, CUDA, DSP, Heterogeneous systems, nVidia, nVidia GeForce GT 610, nVidia GeForce GTX Titan, nVidia Quadro 4000, Signal processing

December 20, 2014 by hgpu

FPGA: An Efficient And Promising Platform For Real-Time Image Processing Applications

Sparsh Mittal, Saket Gupta, Sudeb Dasgupta

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Tags: DSP, FPGA, Image processing, survey

November 19, 2014 by sparsh0mittal

Hierarchical Mapping Techniques for Signal Processing Systems on Parallel Platforms

Lai-Huei Wang

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Tags: Computer vision, CUDA, Design space exploration, DSP, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 680, Signal processing, Thesis

October 31, 2014 by hgpu

An OpenCL Runtime and Scheduler for Embedded Multicore DSP Parallel Systems

Li Tian, Fugen Zhou, Cai Meng

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Tags: Computer science, DSP, Embedded high-performance computing, nVidia, OpenCL, Task scheduling

May 18, 2014 by hgpu

A two-level task scheduler on Multiple DSP system for OpenCL

Li Tian, Cai Meng, Fugen Zhou

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Tags: Computer science, DSP, nVidia, OpenCL, Task scheduling

April 9, 2014 by hgpu

Task migration of DSP application specified with a DFG and implemented with the BSP computing model on a CPU-GPU cluster

Farouk Mansouri, Sylvain Huet, Vincent Fristot, Dominique Houzet

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Tags: Computer science, CUDA, DSP, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia Quadro 4000, Signal processing

February 2, 2014 by hgpu

Implementations of the Hough Transform on the Embedded Multicore Processors

Xin Zhou, Norihiro Tomagou, Yasuaki Ito, Koji Nakano

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Tags: CUDA, DSP, FPGA, Image processing, nVidia, nVidia GeForce GTX 680

January 11, 2014 by hgpu

Multi-Scale Scheduling Techniques for Signal Processing Systems

Zheng Zhou

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Tags: Algorithms, CUDA, DSP, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, Particle swarm optimization, Signal processing, Thesis

October 19, 2013 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

A Design Framework for Mapping Dataflow Graphs onto Heterogeneous Multiprocessor Platforms

Advanced Simulation Library: Expanding software ecosystem for the DSP/FPGA/GPU market

A Domain-specific Language to Facilitate Software Defined Radio Parallel Executable Patterns Deployment on Heterogeneous Architectures

SignalPU: A programming model for DSP applications on parallel and heterogeneous clusters

FPGA: An Efficient And Promising Platform For Real-Time Image Processing Applications

Hierarchical Mapping Techniques for Signal Processing Systems on Parallel Platforms

An OpenCL Runtime and Scheduler for Embedded Multicore DSP Parallel Systems

A two-level task scheduler on Multiple DSP system for OpenCL

Task migration of DSP application specified with a DFG and implemented with the BSP computing model on a CPU-GPU cluster

Implementations of the Hough Transform on the Embedded Multicore Processors

Multi-Scale Scheduling Techniques for Signal Processing Systems

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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