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Wideband Channelization for Software-Defined Radio via Mobile Graphics Processors

Vignesh Adhinarayanan, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 6470 M, ATI Radeon HD 6480, OpenCL, Signal processing

January 29, 2014 by hgpu

Scheduling on Manycore and Heterogeneous Graphics Processors

Stanley Tzeng

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Thesis

January 28, 2014 by hgpu

Automatic Resource-Constrained Static Task Parallelization

Dounia Khaldi

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Tags: Algorithms, Code generation, Computer science, MPI, OpenCL, Task scheduling, Thesis

January 28, 2014 by hgpu

Autotuning Programs with Algorithmic Choice

Jason Ansel

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Source codes

Tags: Algorithms, ATI, ATI Radeon HD 6630 M, Computer science, nVidia, OpenCL, Package, Performance, Tesla C2070, Thesis

January 28, 2014 by hgpu

Hybrid strategy for stencil computations on the APU

Pacome Eberhart, Issam Said, Pierre Fortin

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Tags: AMD, APU, Computer science, Numerical Analysis, OpenCL, Partial differential equations

January 26, 2014 by hgpu

OpenSSL acceleration using Graphics Processing Units

Pedro Miguel Costa Saraiva

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Security, Thesis

January 23, 2014 by hgpu

On the Portability of the OpenCL Dwarfs on Fixed and Reconfigurable Parallel Platforms

Konstantinos Krommydas, Muhsen Owaida, Christos D. Antonopoulos, Nikolaos Bellas, Wu-chun Feng

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Tags: APU, ATI, ATI Radeon HD 7970, Computer science, FPGA, Heterogeneous systems, Intel Xeon Phi, OpenCL

January 23, 2014 by hgpu

clpeak – peak performance of your opencl device

Krishnaraj Bhat

Source codes

Tags: ATI, Benchmarking, Computer science, nVidia, OpenCL, Package, Performance

January 23, 2014 by hgpu

GPU based Implementation of Film Flicker Reduction Algorithms

Martn Pineyro, Julieta Keldjian, Alvaro Pardo

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Tags: Algorithms, ATI, ATI Radeon HD 5650, Image processing, OpenCL

January 19, 2014 by hgpu

High-performance and Embedded Systems for Cryptography

Samuel Freitas Antao

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Tags: Algorithms, Computer science, Elliptic curves, FPGA, Modular arithmetic, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, nVidia GeForce GTX 580, OpenCL, Security

January 18, 2014 by hgpu

Improving Student Learning in Computer Science Courses by Using Virtual OpenCL Laboratory

Diming Zhang, Yuanjiang Li

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Tags: Computer science, Education, OpenCL

January 16, 2014 by hgpu

Adaptation of an acoustic propagation model to the parallel architecture of a graphics processor

Emanuel Ey

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Tags: Acoustics, Algorithms, Earth and Space Sciences, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Raytracing, Thesis

January 14, 2014 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

See all packages

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high performance computing on graphics processing units: hgpu.org

Wideband Channelization for Software-Defined Radio via Mobile Graphics Processors

Scheduling on Manycore and Heterogeneous Graphics Processors

Automatic Resource-Constrained Static Task Parallelization

Autotuning Programs with Algorithmic Choice

Hybrid strategy for stencil computations on the APU

OpenSSL acceleration using Graphics Processing Units

On the Portability of the OpenCL Dwarfs on Fixed and Reconfigurable Parallel Platforms

clpeak – peak performance of your opencl device

GPU based Implementation of Film Flicker Reduction Algorithms

High-performance and Embedded Systems for Cryptography

Improving Student Learning in Computer Science Courses by Using Virtual OpenCL Laboratory

Adaptation of an acoustic propagation model to the parallel architecture of a graphics processor

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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