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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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Source codes

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

January 14, 2014 by hgpu

High Performance Code Generation for Stencil Computation on Heterogeneous Multi-device Architectures

Pei Li, Elisabeth Brunet, Raymond Namyst

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Tags: Code generation, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 460, OpenCL

January 14, 2014 by hgpu

Towards Portable Performance for Explicit Hydrodynamics Codes

A. C. Mallinson, D. A. Beckingsale, W. P. Gaudin, J. A. Herdman, S. A. Jarvis

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Tags: APU, ATI, ATI FirePro V7800, Computer science, Fluid dynamics, MPI, nVidia, OpenCL, Package, Performance, Tesla K20

January 14, 2014 by hgpu

Parallelization and Optimization of Feature Detection Algorithms on Embedded GPU

Seung Heon Kang, Seung-Jae Lee, In Kyu Park

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Tags: Algorithms, ARM, Computer science, Computer vision, OpenCL, OpenGL, SIFT

January 14, 2014 by hgpu

Importance-Driven Isosurface Decimation for Visualization of Large Simulation Data Based on OpenCL

Yi Peng, Li Chen, Jun-Hai Yong

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 555 M, OpenCL, Visualization

January 12, 2014 by hgpu

Maximal Information Coefficient Analysis

Yanis Linge, Cecile Dumas, Sophie Lambert-Lacroix

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Tags: Computer science, OpenCL, Security

January 11, 2014 by hgpu

Framework for utilizing computational devices within simulation

Miroslav Mintal

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Tags: ARM, Computer science, FPGA, OpenCL

January 11, 2014 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

* * *

high performance computing on graphics processing units: hgpu.org

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

High Performance Code Generation for Stencil Computation on Heterogeneous Multi-device Architectures

Towards Portable Performance for Explicit Hydrodynamics Codes

Parallelization and Optimization of Feature Detection Algorithms on Embedded GPU

Importance-Driven Isosurface Decimation for Visualization of Large Simulation Data Based on OpenCL

Maximal Information Coefficient Analysis

Framework for utilizing computational devices within simulation

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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