high performance computing on graphics processing units: hgpu.org

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Investigation of General-Purpose Computing on Graphics Processing Units and its Application to the Finite Element Analysis of Electromagnetic Problems

Huan-Ting Meng

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Tags: CUDA, Electrodynamics, FEM, Finite element method, MPI, nVidia, Optics, Physics, Tesla M2090, Thesis

October 31, 2015 by hgpu

Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling

Aaron Q Li

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Bayesian, Computer science, GPU cluster, Machine learning, NLP, nVidia, nVidia GeForce GTX 480, OpenCL, Thesis

October 25, 2015 by hgpu

Sequential Code Parallelization for Multi-core Embedded Systems: A Survey of Models, Algorithms and Tools

Jorge Alberto Castro Godinez

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Tags: Computer science, Parallelization, Review, Thesis

October 22, 2015 by hgpu

A linguistic approach to concurrent, distributed, and adaptive programming across heterogeneous platforms

Paul Harvey

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Tags: Computer science, Heterogeneous systems, OpenCL, Thesis

October 22, 2015 by hgpu

Self-Adapting Parallel Framework for Long-Term Object Tracking

Salim Mohammed Ali

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Tags: AMD Radeon HD 8970 M, ATI, Computer science, Computer vision, nVidia, nVidia GeForce GTX 580, OpenCL, Thesis

October 18, 2015 by hgpu

Implementation of a Power Efficient Synthetic Aperture Radar Back Projection Algorithm on FPGAs Using OpenCL

David Fan

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Tags: Algorithms, FPGA, Heterogeneous systems, nVidia, OpenCL, SAR, Signal processing, Tesla K40, Thesis

October 18, 2015 by hgpu

Performance analysis and optimization of a CFD application

Wentao Zhang

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Tags: Finite difference, Fluid dynamics, Fortran, Heterogeneous systems, Intel Xeon Phi, Performance, Thesis

October 18, 2015 by hgpu

Accelerating Applications with Pattern-specific Optimizations on Accelerators and Coprocessors

Linchuan Chen

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Tags: Computer science, CUDA, Heterogeneous systems, MapReduce, Matrix multiplication, MPI, nVidia, Sparse matrix, Task scheduling, Tesla M2070, Thesis

October 13, 2015 by hgpu

Adaptive Simulation of Large-Scale Ocean Surface

Filip Krijt

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Tags: CUDA, DirectX, Fluid dynamics, HLSL, nVidia GeForce GTX 760, Tessellation, Thesis

October 13, 2015 by hgpu

Accelerating the D3Q19 Lattice Boltzmann Model with OpenACC and MPI

Alessandro Gabbana

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Tags: Fluid dynamics, Heterogeneous systems, Lattice Boltzmann model, MPI, nVidia, OpenACC, Tesla K80, Thesis

October 11, 2015 by hgpu

GPU acceleration of preconditioned solvers for ill-conditioned linear systems

Rohit Gupta

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Tags: Computer science, Conjugate gradient solver, MPI, nVidia, Tesla C2070, Thesis

October 11, 2015 by hgpu

A Toolkit for Building Dynamic Compilers for Array-Based Languages Targeting CPUs and GPUs

Rahul Garg

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Source codes

Tags: AMD Radeon HD 8650, ATI, ATI Radeon HD 7970, Benchmarking, Code generation, Computer science, Intel HD Graphics 4000, Matlab, Matrix multiplication, nVidia, nVidia GeForce GT 650 M, OpenCL, Package, Python, Tesla C2050, Thesis

October 6, 2015 by hgpu

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

Investigation of General-Purpose Computing on Graphics Processing Units and its Application to the Finite Element Analysis of Electromagnetic Problems

Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling

Sequential Code Parallelization for Multi-core Embedded Systems: A Survey of Models, Algorithms and Tools

A linguistic approach to concurrent, distributed, and adaptive programming across heterogeneous platforms

Self-Adapting Parallel Framework for Long-Term Object Tracking

Implementation of a Power Efficient Synthetic Aperture Radar Back Projection Algorithm on FPGAs Using OpenCL

Performance analysis and optimization of a CFD application

Accelerating Applications with Pattern-specific Optimizations on Accelerators and Coprocessors

Adaptive Simulation of Large-Scale Ocean Surface

Accelerating the D3Q19 Lattice Boltzmann Model with OpenACC and MPI

GPU acceleration of preconditioned solvers for ill-conditioned linear systems

A Toolkit for Building Dynamic Compilers for Array-Based Languages Targeting CPUs and GPUs

Recent source codes

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Most viewed papers (last 30 days)