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AeminiumGPU: An Intelligent Framework for GPU Programming

Alcides Fonseca, Bruno Cabral

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Tags: Computer science, Heterogeneous systems, Java, MapReduce, nVidia, nVidia GeForce GTX 285, OpenCL, Package

October 13, 2012 by hgpu

Applying Genetic Algorithms to Tune Heterogeneous Platform Configurations

Max Grossman, Sameer Kulkarni

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Tags: Algorithms, ATI, Computer science, Heterogeneous systems, Machine learning, OpenCL, Optimization

October 9, 2012 by hgpu

GPU Accelerated NIDS Search

Kristian Nordhaug

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Security, Thesis

October 8, 2012 by hgpu

Heterogeneous GPU&CPU cluster for High Performance Computing in cryptography

Michal Marks, Jaroslaw Jantura, Ewa Niewiadomska-Szynkiewicz, Przemyslaw Strzelczyk, Krzysztof Gozdz

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Tags: Algorithms, AMD FirePro V7900, AMD FireStream 9350, ATI, ATI FirePro V5800, ATI FirePro V7800, Computer science, Distributed computing, GPU cluster, Heterogeneous systems, nVidia, OpenCL, Security, Tesla M2050

October 4, 2012 by hgpu

Multi2Sim: a simulation framework for CPU-GPU computing

Rafael Ubal, Byunghyun Jang, Perhaad Mistry, Dana Schaa, David Kaeli

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, Heterogeneous systems, OpenCL

October 2, 2012 by hgpu

Accelerated Pressure Projection using OpenCL on GPUs

Davoud Saffar Shamshirgar

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Tags: Algorithms, Computer science, Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Thesis

October 1, 2012 by hgpu

Performance characterization of data-intensive kernels on AMD Fusion architectures

Kenneth Lee, Heshan Lin, Wu-chun Feng

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Tags: AMD Fusion, ATI, ATI Radeon HD 5870, Computer science, Heterogeneous systems, OpenCL

September 30, 2012 by hgpu

Optimising Unstructured Mesh Computational Fluid Dynamics Applications on Multicores via Machine Learning and Code Transformation

Roxana Rusitoru

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Tags: Algorithms, Fluid dynamics, Heterogeneous systems, Machine learning, nVidia, OpenCL, Optimization, Tesla M2050, Thesis

September 28, 2012 by hgpu

Exploring Multi-level Parallelism for Large-Scale Spiking Neural Networks

Vivek K. Pallipuram, Melissa C. Smith, Nimisha Raut, Xiaoyu Ren

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, Neural networks, nVidia, Tesla M2070

September 23, 2012 by hgpu

Autotuning Wavefront Abstractions for Heterogeneous Architectures

Siddharth Mohanty, Murray Cole

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL

September 21, 2012 by hgpu

The Architecture and Evolution of CPU-GPU Systems for General Purpose Computing

Manish Arora

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Tags: Computer science, Heterogeneous systems, Review

September 18, 2012 by hgpu

Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU Machines

George Teodoro, Tony Pan, Tahsin Kurc, Jun Kong, Lee Cooper, Joel Saltz

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Tags: Algorithms, Computer science, CUDA, Distance transform, Heterogeneous systems, Image processing, nVidia, Tesla M2090

September 18, 2012 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

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high performance computing on graphics processing units: hgpu.org

AeminiumGPU: An Intelligent Framework for GPU Programming

Applying Genetic Algorithms to Tune Heterogeneous Platform Configurations

GPU Accelerated NIDS Search

Heterogeneous GPU&CPU cluster for High Performance Computing in cryptography

Multi2Sim: a simulation framework for CPU-GPU computing

Accelerated Pressure Projection using OpenCL on GPUs

Performance characterization of data-intensive kernels on AMD Fusion architectures

Optimising Unstructured Mesh Computational Fluid Dynamics Applications on Multicores via Machine Learning and Code Transformation

Exploring Multi-level Parallelism for Large-Scale Spiking Neural Networks

Autotuning Wavefront Abstractions for Heterogeneous Architectures

The Architecture and Evolution of CPU-GPU Systems for General Purpose Computing

Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU Machines

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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