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High-Speed Turbo Equalization for GPP-based Software Defined Radios

Michael Schwall, Friedrich K. Jondral

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Tags: Algorithms, Filtering, nVidia, nVidia GeForce 8400 GS, OpenCL, Signal processing

December 31, 2013 by hgpu

Multi-GPU numerical simulation of electromagnetic waves

Philippe Helluy, Thomas Strub

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Tags: Electrodynamics, Maxwell's equations, MPI, Numerical simulation, nVidia, nVidia GeForce GTX 295, OpenCL, Tesla M2090

December 29, 2013 by hgpu

Accelerating Computational Algorithms

Michael Risley

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Tags: Algorithms, APU, ATI, Computer science, nVidia, nVidia GeForce GTX 570, OpenCL, Thesis

December 29, 2013 by hgpu

OpenCL Programming by Example

Ravishekhar Banger, Koushik Bhattacharyya

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Tags: Book, Computer science, Image processing, Matrix multiplication, Memory model, Nearest neighbour, OpenCL, OpenGL, Pattern recognition, Tutorial

December 27, 2013 by hgpu

Scene Boundary Detection Technique Based on Bottom-Up Attention System and OpenCL Parallel Implementation

S. Axyonov, D. Kovalenko, I. Potapyev

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Tags: Algorithms, ATI, ATI Radeon HD 5850 M, Computer vision, Image processing, OpenCL

December 24, 2013 by hgpu

Speed-Up Improvement Using Parallel Approach in Image Steganography

JyothiUpadhya K, U Dinesh Acharya, Hemalatha S

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce GT 640, OpenCL

December 22, 2013 by hgpu

Numerical Simulation for the MHD System in 2D Using OpenCL

Michel Massaro, Philippe Helluy, Vincent Loechner

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Tags: ATI, ATI Radeon HD 7970, Magnetohydrodynamics, Numerical simulation, OpenCL, Physics

December 22, 2013 by hgpu

Videogame Graphics, BigData & Analytics

Eamonn Killian

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Tags: Book, Computer science, CUDA, Games, OpenCL, OpenGL

December 21, 2013 by hgpu

Warps and Atomics: Beyond Barrier Synchronization in the Verification of GPU Kernels

Ethel Bardsley, Alastair F. Donaldson

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Source codes

Tags: Benchmarking, Computer science, CUDA, nVidia, OpenCL, Package, Python

December 20, 2013 by hgpu

Pannotia: Understanding Irregular GPGPU Graph Applications

Shuai Che, Bradford M. Beckmann, Steven K. Reinhardt, Kevin Skadron

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Tags: Algorithms, ATI, ATI Radeon HD 7950, Computer science, OpenCL

December 20, 2013 by hgpu

Tesla vs. Xeon Phi vs. Radeon A Compiler Writer’s Perspective

Brent Leback, Douglas Miles, Michael Wolfe

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Tags: ATI, Compilers, Computer science, Intel Xeon Phi, nVidia, OpenCL, Performance, Tesla

December 18, 2013 by hgpu

OpenCL Accelerated Multi-GPU Cone-Beam Reconstruction

Marc Kaseberg, Steffen Melnik, Erwin Keeve

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Tags: Algorithms, ATI, ATI Radeon HD 5770, ATI Radeon HD 6970, Computed tomography, CT, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 680, nVidia Quadro 600, OpenCL, Tomography

December 17, 2013 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

Programming

High-Speed Turbo Equalization for GPP-based Software Defined Radios

Multi-GPU numerical simulation of electromagnetic waves

Accelerating Computational Algorithms

OpenCL Programming by Example

Scene Boundary Detection Technique Based on Bottom-Up Attention System and OpenCL Parallel Implementation

Speed-Up Improvement Using Parallel Approach in Image Steganography

Numerical Simulation for the MHD System in 2D Using OpenCL

Videogame Graphics, BigData & Analytics

Warps and Atomics: Beyond Barrier Synchronization in the Verification of GPU Kernels

Pannotia: Understanding Irregular GPGPU Graph Applications

Tesla vs. Xeon Phi vs. Radeon A Compiler Writer’s Perspective

OpenCL Accelerated Multi-GPU Cone-Beam Reconstruction

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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