high performance computing on graphics processing units: hgpu.org

Roberto Ammendola, Andrea Biagioni, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Pier Paolucci, Roberto Petronzio, Davide Rossetti, Andrea Salamon, Gaetano Salina, Francesco Simula, Nazario Tantalo, Laura Tosoratto, Piero Vicini

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Tags: Distributed computing, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, OpenMPI, Physics, QCD

December 2, 2010 by hgpu

Stable fluids

Jos Stam

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Tags: 3D Graphics and Realism, Fluid dynamics, Fluid simulation, Navier-Stokes equations, NSEs

December 1, 2010 by hgpu

Fast computation of generalized Voronoi diagrams using graphics hardware

Kenneth Hoff, John Keyser, Ming Lin, Dinesh Manocha, Tim Culver

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Tags: Computer science, Image generation, OpenGL, Package, Rasterization, Voronoi diagram

December 1, 2010 by hgpu

End-to-end data reduction and hardware accelerated rendering techniques for visualizing time-varying non-uniform grid volume data

Hiroshi Akiba, Kwan-Liu Ma, John Clyne

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Tags: Compression, Computer science, nVidia, nVidia GeForce 6800 GT, Rendering, Visualization, Wavelet

December 1, 2010 by hgpu

Programming video cards for computational electromagnetics applications

M. J. Inman, A. Z. Elsherbeni

Tags: Electrodynamics

December 1, 2010 by hgpu

Example-based volume illustrations

A. Lu, D. S. Ebert

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia Quadro FX 3400, Rendering

December 1, 2010 by hgpu

self-CD: Interactive Self-collision Detection for Deformable Body Simulation Using GPUs

Yoo-Joo Choi, Young J. Kim, Myoung-Hee Kim

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Tags: Collision detection, Computer science, nVidia, nVidia GeForce 6800

December 1, 2010 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Real-time GPU rendering of piecewise algebraic surfaces

Haptic feedback for the GPU-based surgical simulator

Interactive Point-based Isosurface Exploration and High-quality Rendering

GPU-Based Interactive Visualization Techniques (Mathematics and Visualization)

Improving GPU particle filter with shader model 3.0 for visual tracking

APEnet+: a 3D toroidal network enabling Petaflops scale Lattice QCD simulations on commodity clusters

Stable fluids

Fast computation of generalized Voronoi diagrams using graphics hardware

End-to-end data reduction and hardware accelerated rendering techniques for visualizing time-varying non-uniform grid volume data

Programming video cards for computational electromagnetics applications

Example-based volume illustrations

self-CD: Interactive Self-collision Detection for Deformable Body Simulation Using GPUs

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

Most viewed papers (last 30 days)