high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

Integrating multi-threading and accelerators into DUNE-ISTL

Steffen Muthing, Dirk Ribbrock, Dominik Goddeke

View

Tags: Computer science, CUDA, Heterogeneous systems, Linear Algebra, MPI, nVidia, Partial differential equations, PDEs, Tesla C2070

April 25, 2014 by hgpu

Toward optimised skeletons for heterogeneous parallel architecture with performance cost model

Khari A. Armih

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MapReduce, Matrix multiplication, nVidia, nVidia GeForce GT 520, Thesis

April 21, 2014 by hgpu

Architectural Support for Virtual Memory in GPUs

Bharath Subramanian Pichai

View

Download (PDF)

Tags: Computer science, Hardware Architecture, Heterogeneous systems, Memory, Thesis

April 19, 2014 by hgpu

Performance-aware component composition for GPU-based systems

Usman Dastgeer

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Programming techniques, Tesla C1060, Tesla C2050, Thesis

April 16, 2014 by hgpu

On optimization techniques for the matrix multiplication on hybrid CPU+GPU platforms

Luis-Pedro Garcia, Javier Cuenca, Domingo Gimenez

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 590, Tesla K20

April 16, 2014 by hgpu

Modeling and Simulation of a Dynamic Task-Based Runtime System for Heterogeneous Multi-Core Architectures

Luka Stanisic, Samuel Thibault, Arnaud Legrand, Brice Videau, Jean-Francois Mehaut

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, nVidia Quadro FX 5800, Performance, Task scheduling, Tesla C2050, Tesla K20, Tesla M2075

April 9, 2014 by hgpu

Task-based FMM for heterogeneous architectures

Emmanuel Agullo, Berenger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Toru Takahashi

View

Download (PDF)

Tags: Computer science, CUDA, Fast multipole method, Heterogeneous systems, Numerical simulation, nVidia, Tesla M2070, Tesla M2090

April 9, 2014 by hgpu

Code Generation for Embedded Heterogeneous Architectures on Android

R. Membarth, O. Reiche, F. Hannig, J. Teich

View

Download (PDF)

Tags: Code generation, Heterogeneous systems, Image processing

April 1, 2014 by hgpu

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

R. Mokhtari, M. Stumm

View

Download (PDF)

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

View

Download (PDF)

Tags: Databases, Heterogeneous systems, OpenCL, Performance

March 24, 2014 by hgpu

Prototyping methodology of image processing applications on heterogeneous parallel systems

Jinglin Zhang

View

Download (PDF)

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

View

Download (PDF)

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

March 10, 2014 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Integrating multi-threading and accelerators into DUNE-ISTL

Toward optimised skeletons for heterogeneous parallel architecture with performance cost model

Architectural Support for Virtual Memory in GPUs

Performance-aware component composition for GPU-based systems

On optimization techniques for the matrix multiplication on hybrid CPU+GPU platforms

Modeling and Simulation of a Dynamic Task-Based Runtime System for Heterogeneous Multi-Core Architectures

Task-based FMM for heterogeneous architectures

Code Generation for Embedded Heterogeneous Architectures on Android

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

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Most viewed papers (last 30 days)