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Multi-GPU Island-Based Genetic Algorithm for Solving the Knapsack Problem

Jiri Jaros

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Tags: Algorithms, Computer science, CUDA, Genetic programming, GPU cluster, MPI, nVidia, nVidia GeForce GTX 580, Package

June 26, 2012 by hgpu

Compiling a high-level language for GPUs: (via language support for architectures and compilers)

Christophe Dubach, Perry Cheng, Rodric Rabbah, David F. Bacon, Stephen J. Fink

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Tags: ATI, ATI Radeon HD 5970, Compilers, Computer science, CUDA, Heterogeneous systems, Java, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 580, OpenCL, Programming Languages

June 26, 2012 by hgpu

A Parallel Algorithm Development Model for the GPU Architecture

J. Steven Kirtzic, Ovidiu Daescu

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Tags: Algorithms, Computer science, CUDA, nVidia

June 25, 2012 by hgpu

Improving GPU Simulations of Spiking Neural P Systems

Francis George C. Cabarle, Henry N. Adorna, Miguel A. Martinez-Del-Amor, Mario J. Perez-Jimenez

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Tags: Computer science, CUDA, Linear Algebra, Membrane computing, Neural networks, nVidia, P systems, Tesla C1060

June 25, 2012 by hgpu

GPU Implementation of the Branch and Bound method for knapsack problems

Mohamed Esseghir Lalami, Didier El-Baz

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Tags: Computer science, CUDA, Hybrid computing, nVidia, Optimization, Tesla C2050

June 25, 2012 by hgpu

An Adaptative Multi-GPU based Branch-and-Bound. A Case Study: the Flow-Shop Scheduling Problem

Imen Chakroun, Nouredine Melab

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Tags: Computer science, CUDA, GPU cluster, nVidia, Optimization, Tesla S1070

June 25, 2012 by hgpu

Fast motion detection from airborne videos using graphics processing unit

Kui Liu, Ben Ma, Qian Du, Genshe Chen

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 480, Optical flow

June 23, 2012 by hgpu

GPU-accelerated Model Checking of Periodic Self-Suspending Real-Time Tasks

Per-Erik Mahl, Tim Liberg

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 320 M, nVidia GeForce GTX 275, Task scheduling, Thesis

June 23, 2012 by hgpu

High performance implementation of hydrodynamic interactions and applications with the sub-cellular element method

Andrei Frunza

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Tags: Computer science, CUDA, Diffusion tensor, nVidia, nVidia GeForce GTX 580, Physics, Thesis

June 21, 2012 by hgpu

Evaluating the impact of reordering unstructured meshes on the performance of finite volume GPU solvers

Marc de la Asuncion, Jose M. Mantas, Manuel J. Castro

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Tags: Computer science, CUDA, Finite volume method, nVidia, nVidia GeForce GTX 580, Performance

June 21, 2012 by hgpu

CUSHAW: a CUDA compatible short read aligner to large genomes based on the Burrows-Wheeler transform

Yongchao Liu, Bertil Schmidt, Douglas L. Maskell

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Tags: Bioinformatics, Biology, CUDA, nVidia, Package, Tesla C2050

June 21, 2012 by hgpu

FMM-based vortex method for simulation of isotropic turbulence on GPUs, compared with a spectral method

Rio Yokota, L. A. Barba

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Tags: Computational Physics, Computer science, CUDA, Fast multipole method, FFT, Fluid dynamics, N-body simulation, Numerical Analysis, Numerical simulation, nVidia, Package, Spectral methods, Tesla C2070, Tesla M2050

June 21, 2012 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

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high performance computing on graphics processing units: hgpu.org

Multi-GPU Island-Based Genetic Algorithm for Solving the Knapsack Problem

Compiling a high-level language for GPUs: (via language support for architectures and compilers)

A Parallel Algorithm Development Model for the GPU Architecture

Improving GPU Simulations of Spiking Neural P Systems

GPU Implementation of the Branch and Bound method for knapsack problems

An Adaptative Multi-GPU based Branch-and-Bound. A Case Study: the Flow-Shop Scheduling Problem

Fast motion detection from airborne videos using graphics processing unit

GPU-accelerated Model Checking of Periodic Self-Suspending Real-Time Tasks

High performance implementation of hydrodynamic interactions and applications with the sub-cellular element method

Evaluating the impact of reordering unstructured meshes on the performance of finite volume GPU solvers

CUSHAW: a CUDA compatible short read aligner to large genomes based on the Burrows-Wheeler transform

FMM-based vortex method for simulation of isotropic turbulence on GPUs, compared with a spectral method

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

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