high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

BigKernel — High Performance CPU-GPU Communication Pipelining for Big Data-style Applications

R. Mokhtari, M. Stumm

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Tags: CUDA, Heterogeneous systems, Memory, nVidia, nVidia GeForce GTX 680

March 25, 2014 by hgpu

Demonstrating Self-Learning Algorithm Adaptivity in a Hardware-Oblivious Database Engine

M. Heimel, F. Haase, M. Meinke, S. Breß, M. Saecker, V. Markl

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Tags: Databases, Heterogeneous systems, OpenCL, Performance

March 24, 2014 by hgpu

Prototyping methodology of image processing applications on heterogeneous parallel systems

Jinglin Zhang

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Tags: Algorithms, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia GeForce 7800 GT, nVidia GeForce 8800 GTX, nVidia GeForce GT 540 M, OpenCL, Thesis

March 17, 2014 by hgpu

OpenCL-Accelerated Simplified General Perturbations 4 Algorithm

Juan Andres Fraire, Pablo Ferreyra, Carlos Marques

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Tags: ATI, ATI Radeon HD 5870, Earth and Space Sciences, Heterogeneous systems, nVidia, nVidia GeForce 9500 GT, OpenCL, Security

March 10, 2014 by hgpu

A Framework for Developing Real-Time OLAP algorithm using Multi-core processing and GPU: Heterogeneous Computing

H.I. Alzeini, Sh.A. Hameed, M.H. Habaebi

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Tags: Algorithms, Computer science, Heterogeneous systems

March 9, 2014 by hgpu

Designing Efficient MPI and UPC Runtime for Multicore Clusters with InfiniBand, Accelerators and Co-Processors

Miao Luo

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Tesla C2050

March 9, 2014 by hgpu

Dynamic Workload Division in GPU-CPU Heterogeneous Systems

Wei Chen

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C2070, Thesis

March 7, 2014 by hgpu

On-Demand Source Code Generation & Scheduling Optimised Parallel Applications on Heterogeneous Platforms

K.A. Hawick, D.P.Playne

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 580, nVidia GeForce GTX 680, Software Engineering

March 4, 2014 by hgpu

Multi-scale problems, high performance computing and hybrid numerical methods

Guillaume Balarac, Georges-Henri Cottet, Jean-Mathieu Etancelin, Jean-Baptiste Lagaert, Franck Perignon, Christophe Picard

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Tags: Heterogeneous systems, Mathematics, nVidia, OpenCL, Tesla K20

March 3, 2014 by hgpu

Performance Assessment of A Multi-block Incompressible Navier-Stokes Solver using Directive-based GPU Programming in a Cluster Environment

Lixiang Luo, Jack R. Edwards, Hong Luo, Frank Mueller

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Tags: CUDA, Fluid dynamics, Heterogeneous systems, nVidia, OpenACC, Tesla K20

February 28, 2014 by hgpu

Heterogenous Acceleration for Linear Algebra in Multi-Coprocessor Environments

Azzam Haidar, Piotr Luszczek, Stanimire Tomov, Jack Dongarra

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Tags: Computer science, Factorization, Heterogeneous systems, Intel Xeon Phi, Linear Algebra

February 28, 2014 by hgpu

An Evaluation of the GAMA/StarPU Frameworks for Heterogeneous Platforms: the Progressive Photon Mapping Algorithm

Miguel Branco Palhas

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Heterogeneous systems, Memory model, nVidia, Rendering, Tesla K20, Tesla M2090, Thesis

February 25, 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

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high performance computing on graphics processing units: hgpu.org

BigKernel — High Performance CPU-GPU Communication Pipelining for Big Data-style Applications

Demonstrating Self-Learning Algorithm Adaptivity in a Hardware-Oblivious Database Engine

Prototyping methodology of image processing applications on heterogeneous parallel systems

OpenCL-Accelerated Simplified General Perturbations 4 Algorithm

A Framework for Developing Real-Time OLAP algorithm using Multi-core processing and GPU: Heterogeneous Computing

Designing Efficient MPI and UPC Runtime for Multicore Clusters with InfiniBand, Accelerators and Co-Processors

Dynamic Workload Division in GPU-CPU Heterogeneous Systems

On-Demand Source Code Generation & Scheduling Optimised Parallel Applications on Heterogeneous Platforms

Multi-scale problems, high performance computing and hybrid numerical methods

Performance Assessment of A Multi-block Incompressible Navier-Stokes Solver using Directive-based GPU Programming in a Cluster Environment

Heterogenous Acceleration for Linear Algebra in Multi-Coprocessor Environments

An Evaluation of the GAMA/StarPU Frameworks for Heterogeneous Platforms: the Progressive Photon Mapping Algorithm

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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