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Work Efficient Parallel Algorithms for Large Graph Exploration

Dip Sankar Banerjee, Shashank Sharma, Kishore Kothapalli

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Tags: Algorithms, Computer science, CUDA, Graph theory, Heterogeneous systems, nVidia, nVidia GeForce GTX 580

October 21, 2013 by hgpu

Architecture-and Workload-Aware Heterogeneous Algorithms for Sparse Matrix Vector Multiplication

Sivaramakrishna Bharadwaj Indarapu, Manoj Maramreddy, Kishore Kothapalli

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, nVidia GeForce GTX 480, Sparse matrix

October 21, 2013 by hgpu

FlexGrip: A Soft GPGPU for FPGAs

Kevin Andryc, Murtaza Merchant, Russell Tessier

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Tags: Computer science, CUDA, FPGA, nVidia

October 19, 2013 by hgpu

Efficient fine grained shared buffer management for multiple OpenCL devices

Chang-qing Xun, Dong Chen, Qiang Lan, Chun-yuan Zhang

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Tags: Computer science, Heterogeneous systems, Memory model, nVidia, OpenCL, Tesla C2050

October 19, 2013 by hgpu

Construction of a Virtual Cluster by Integrating PCI Pass-Through for GPU and InfiniBand Virtualization in Cloud

Chao-Tung Yang, Wei-Shen Ou

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Tags: Cloud, Cluster computing, Computer science, CUDA, GPU cluster, nVidia, Tesla C2050, Tesla C2070, Tesla C2075, Tesla K20, Virtualization

October 19, 2013 by hgpu

Early Experiences in Running Many-Task Computing Workloads on GPGPUs

Scott J. Krieder, Benjamin Grimmer, Ioan Raicu

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Tags: Computer science, CUDA, nVidia, Task scheduling

October 19, 2013 by hgpu

VDBSCAN+: Performance Optimization Based on GPU Parallelism

Carlos Roberto Valencio, Guilherme Priolli Daniel, Camila Alves de Medeiros, Adriano Mauro Cansian

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Tags: Algorithms, Computer science, CUDA, Data mining, Databases, nVidia, nVidia GeForce GT 525 M

October 18, 2013 by hgpu

Progressive Photon Mapping on GPUs

Stian Aaraas Pedersen

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Source codes

Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Overview, Package, Raytracing, Rendering, Thesis

October 18, 2013 by hgpu

OpenACC-based Snow Simulation

Magnus Alvestad Mikalsen

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenACC, OpenCL, Performance, Tesla C2070, Tesla K20, Thesis

October 18, 2013 by hgpu

Towards Code Generation from Design Models for Embedded Systems on Heterogeneous CPU-GPU Platforms

Federico Ciccozzi

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia

October 18, 2013 by hgpu

Efficient SVM Training Using Parallel Primal-Dual Interior Point Method on GPU

Jing Jin, Xianggao Cai, Xiaola Lin

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, Tesla C2050

October 18, 2013 by hgpu

Using CUDA GPU to Accelerate the Ant Colony Optimization Algorithm

Kai-Cheng Wei, Chao-Chin Wu, Chien-Ju Wu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 520

October 18, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Work Efficient Parallel Algorithms for Large Graph Exploration

Architecture-and Workload-Aware Heterogeneous Algorithms for Sparse Matrix Vector Multiplication

FlexGrip: A Soft GPGPU for FPGAs

Efficient fine grained shared buffer management for multiple OpenCL devices

Early Experiences in Running Many-Task Computing Workloads on GPGPUs

VDBSCAN+: Performance Optimization Based on GPU Parallelism

Progressive Photon Mapping on GPUs

OpenACC-based Snow Simulation

Towards Code Generation from Design Models for Embedded Systems on Heterogeneous CPU-GPU Platforms

Efficient SVM Training Using Parallel Primal-Dual Interior Point Method on GPU

Using CUDA GPU to Accelerate the Ant Colony Optimization 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

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