high performance computing on graphics processing units: hgpu.org

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CUDA Enhanced Simulated Annealing for Chip Layout Problem

David Macurak, Jeffrey Raynor, Michael Sodomsky

Tags: Algorithms, Computer science, CUDA, nVidia, OpenGL, Tesla M2050

June 22, 2013 by hgpu

Exploring GPGPUs Workload Characteristics and Power Consumption

Sohan Lal, Jan Lucas, Mauricio Alvarez-Mesa, Ahmed Elhossini, Ben Juurlink

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Tags: Computer science, CUDA, Energy-efficient computing, GPGPU-sim, nVidia, nVidia GeForce GTX 580, Performance

June 22, 2013 by hgpu

Virtualization and Migration with GPGPUs

Mathias Gottschlag

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Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Thesis, Virtualization

June 22, 2013 by hgpu

GPU Optimized Code for Long Term Simulations of Beam-beam Effects in Colliders

Y. Roblin, V. Morozov, B. Terzic, M. Aturban, D. Ranjan, M. Zubair

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Tesla M2090

June 21, 2013 by hgpu

Parallel Language Programming In Different Platforms

Pau Vila Fernández

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Tags: Computer science, CUDA, OpenACC, OpenCL, Programming Languages, Thesis

June 21, 2013 by hgpu

Beam Dynamics Simulations with a GPU-accelerated Version of ELEGANT

K. Amyx, J. Balasalle, J. King, I.V. Pogorelov, M. Borland, R. Soliday

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Tesla C2070

June 21, 2013 by hgpu

Applying the “Simple Accelerator Modelling in MATLAB” (SAMM) Code to High Luminosity LHC Upgrade

K.M. Hock, A. Wolski, R.B. Appleby

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Tags: CUDA, High Energy Physics - Experiment, nVidia, nVidia GeForce GTX 580, Physics

June 21, 2013 by hgpu

A Numerical Study of Continuous Data Assimilation for the 2D-NS Equations Using Nodal Points

Masakazu Gesho,

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTS 450, Thesis

June 21, 2013 by hgpu

libCudaOptimize: an Open Source Library of GPU-based Metaheuristics

Youssef S.G. Nashed, Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni

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Tags: Artificial intelligence, Computer science, CUDA, Differential evolution, Evolutionary Computations, Metaheuristics, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTS 450, Optimization, Package, Particle swarm optimization

June 21, 2013 by hgpu

CFMDS: CUDA-based fast multidimensional scaling for genome-scale data

Sungin Park, Soo-Yong Shin, Kyu-Baek Hwang

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Tags: Bioinformatics, Biology, CUDA, Genetics, Multidimensional scaling, nVidia, Package

June 21, 2013 by hgpu

Artificial Neural Network Simulation on CUDA

John Pendlebury, Huanhuan Xiong, Ray Walshe

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 480

June 21, 2013 by hgpu

On the Effect of Using Multiple GPUs in Solving QAPs with CUDA

Shigeyoshi Tsutsui, Noriyuki Fujimoto

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

June 21, 2013 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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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high performance computing on graphics processing units: hgpu.org

CUDA Enhanced Simulated Annealing for Chip Layout Problem

Exploring GPGPUs Workload Characteristics and Power Consumption

GPU Optimized Code for Long Term Simulations of Beam-beam Effects in Colliders

Parallel Language Programming In Different Platforms

Beam Dynamics Simulations with a GPU-accelerated Version of ELEGANT

Applying the “Simple Accelerator Modelling in MATLAB” (SAMM) Code to High Luminosity LHC Upgrade

A Numerical Study of Continuous Data Assimilation for the 2D-NS Equations Using Nodal Points

libCudaOptimize: an Open Source Library of GPU-based Metaheuristics

CFMDS: CUDA-based fast multidimensional scaling for genome-scale data

Artificial Neural Network Simulation on CUDA

On the Effect of Using Multiple GPUs in Solving QAPs with CUDA

Recent source codes

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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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