high performance computing on graphics processing units: hgpu.org

Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Caglar Gulcehre, Vincent Michalski, Kishore Konda, Sebastien Jean, Pierre Froumenty, Aaron Courville, Pascal Vincent, Roland Memisevic, Christopher Pal, Yoshua Bengio

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Tags: Computer science, Computer vision, CUDA, Deep learning, Machine learning, nVidia

March 14, 2015 by hgpu

Accelerating DEM simulations on GPUs by reducing the impact of warp divergences

Yasuhiro Nakahara, Teruyoshi Washizawa

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Tags: Computer science, nVidia, OpenCL, Particle simulation, Tesla M2050

March 14, 2015 by hgpu

GPGPU Performance and Power Estimation Using Machine Learning

Gene Wu, Joseph L. Greathouse, Alexander Lyashevsky, Nuwan Jayasena, Derek Chiou

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Tags: ATI, ATI Radeon HD 7970, Computer science, Energy-efficient computing, Machine learning, Neural networks, OpenCL

March 12, 2015 by hgpu

Implementing Machine Learning Algorithms on GPUs for Real-Time Traffic Sign Classification

Dashiell Bodington, Eric Greenstein, Matthew Hu

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Tags: Algorithms, CNN, Computer science, Computer vision, CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 780

March 12, 2015 by hgpu

CUDA accelerated large scale vehicular area network simulator

Chok Meng Yip

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Tags: Computer science, CUDA, nVidia, Tesla C2075, Tesla K20, Thesis, Vehicular traffic

March 12, 2015 by hgpu

RadixBoost: A Hardware Acceleration Structure for Scalable Radix Sort on Graphic Processors

Xingyu Liu, Shikai Li, Kuan Fang, Yufei Ni, Zonghui Li, Yangdong Deng

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Tags: Algorithms, ASIC, Computer science, FPGA, nVidia, nVidia GeForce GTX 580, Sorting

March 12, 2015 by hgpu

FastTree: A Hardware KD-Tree Construction Acceleration Engine for Real-Time Ray Tracing

Xingyu Liu, Yangdong Deng, Yufei Ni, Zonghui Li

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Tags: Algorithms, ASIC, Computer science, FPGA, KD-tree, Raytracing, Rendering

March 12, 2015 by hgpu

HOCL: A Family of Embedded Languages

Anthony Cowley, Camillo J. Taylor

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Tags: Computer science, Haskell, High-level Languages, OpenCL

March 8, 2015 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

Portable GPU-Based Artificial Neural Networks for Accelerated Data-Driven Modeling

Accelerating Direction-Optimized Breadth First Search on Hybrid Architectures

A Switched Dynamical System Framework for Analysis of Massively Parallel Asynchronous Numerical Algorithms

Fast Radix Sort for Sparse Linear Algebra on GPU

EmoNets: Multimodal deep learning approaches for emotion recognition in video

Accelerating DEM simulations on GPUs by reducing the impact of warp divergences

GPGPU Performance and Power Estimation Using Machine Learning

Implementing Machine Learning Algorithms on GPUs for Real-Time Traffic Sign Classification

CUDA accelerated large scale vehicular area network simulator

RadixBoost: A Hardware Acceleration Structure for Scalable Radix Sort on Graphic Processors

FastTree: A Hardware KD-Tree Construction Acceleration Engine for Real-Time Ray Tracing

HOCL: A Family of Embedded Languages

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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