high performance computing on graphics processing units: hgpu.org

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GPU Accelerated Nature Inspired Methods for Modelling Large Scale Bi-Directional Pedestrian

Sankha Baran Dutta

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Tags: Ant colony optimization, Computational Complexity, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Thesis, Vehicular traffic

December 22, 2014 by hgpu

Multi-Centroid PSO Classification Learning on the GPU

Cain Cresswell-Miley

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 780, Particle swarm optimization, Thesis

December 16, 2014 by hgpu

Analysis and Optimization Techniques for Massively Parallel Processors

Wenhao Jia

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, PTX, Tesla C2070, Thesis, Virtualization

December 15, 2014 by hgpu

Bamboo: Automatic Translation of MPI Source into a Latency-Tolerant Form

Nhat Tan Nguyen Thanh

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Tags: Computer science, CUDA, Linear Algebra, MPI, nVidia, Package, Tesla K20, Thesis

December 15, 2014 by hgpu

Acceleration of Hessenberg Reduction for Nonsymmetric Matrix

Hesamaldin Nekouei

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Tags: Algorithms, Computer science, CUDA, FFT, Linear Algebra, nVidia, nVidia GeForce GT 635 M, Thesis

December 14, 2014 by hgpu

Graph Processing on GPU

Zhang Jingbo

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Tags: Algorithms, Computer science, CUDA, Data mining, Graph theory, Machine learning, nVidia, nVidia GeForce 9400 GT, nVidia GeForce GT 330, nVidia GeForce GT 520, Thesis

December 14, 2014 by hgpu

Portable OpenCL Out-of-Order Execution Framework for Heterogeneous Platforms

Ville Korhonen

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Tags: Computer science, Data parallelism, Heterogeneous systems, OpenCL, Task scheduling, Thesis

December 9, 2014 by hgpu

Parallelization of a novel frequent itemset hiding algorithm on a CPU-GPU platform

Samuel Bacha Heye

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Tags: Algorithms, Computer science, Data mining, nVidia, nVidia GeForce GT 635 M, OpenCL, Thesis

December 3, 2014 by hgpu

Real-Time Hair Rendering

Markus Rapp

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce GTX 580, OpenGL, Rendering, Tessellation, Thesis

December 2, 2014 by hgpu

GPU accelerated feature algorithms for mobile devices

Seth Hall

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Tags: Algorithms, Augmented reality, Clustering, Computer science, Computer vision, OpenCV, OpenGL, Thesis

December 2, 2014 by hgpu

GPU Declarative Framework

Robert W. Senser, Jr.

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Tags: AMD Radeon R9 270, ATI, Code generation, Computer science, Filtering, Image processing, Matrix inversion, nVidia, OpenCL, Sorting, Tesla S2050, Tesla T20, Thesis

December 1, 2014 by hgpu

Application Synthesis and Optimization on Heterogeneous Parallel Processing Systems

Chih-Sheng Lin

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTS 250, nVidia GeForce GTX 690, OpenCL, Task scheduling, Tesla C2050, Thesis

December 1, 2014 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

GPU Accelerated Nature Inspired Methods for Modelling Large Scale Bi-Directional Pedestrian

Multi-Centroid PSO Classification Learning on the GPU

Analysis and Optimization Techniques for Massively Parallel Processors

Bamboo: Automatic Translation of MPI Source into a Latency-Tolerant Form

Acceleration of Hessenberg Reduction for Nonsymmetric Matrix

Graph Processing on GPU

Portable OpenCL Out-of-Order Execution Framework for Heterogeneous Platforms

Parallelization of a novel frequent itemset hiding algorithm on a CPU-GPU platform

Real-Time Hair Rendering

GPU accelerated feature algorithms for mobile devices

GPU Declarative Framework

Application Synthesis and Optimization on Heterogeneous Parallel Processing Systems

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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