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Increasing GPU Throughput using Kernel Interleaved Thread Block Scheduling

Mihir Awatramani, Joseph Zambreno, Diane Rover

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, Performance

September 13, 2013 by hgpu

An Interface for Halo Exchange Pattern

Mauro Bianco

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Tags: Computer science, CUDA, nVidia, Partial differential equations, PDEs, Tesla K20, Tesla M2090

September 13, 2013 by hgpu

Exploring Multiple Dimensions of Parallelism in Junction Tree Message Passing

Lu Zheng, Ole J. Mengshoel

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Tags: Artificial intelligence, Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 460

September 13, 2013 by hgpu

Simulation and modeling of physical broadcasts

Ahmed Ahmed

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Tags: Cellular automata, Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 680, Thesis

September 13, 2013 by hgpu

Histogram Computations on GPUs Kernel using Global and Shared Memory Atomics

C.P.Patidar, Meena Sharma

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce GT 610

September 11, 2013 by hgpu

Evaluating the Viability of Application-Driven Cooperative CPU/GPU Fault Detection

Dong Li, Seyong Lee, Jeffrey S. Vetter

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Tags: Computer science, CUDA, Fault tolerance, Heterogeneous systems, nVidia

September 11, 2013 by hgpu

D5.5.4 – Characterization of Redundancy and Definition of Work Reuse

Stefanos Kaxiras, Georgios Keramidas, Konstantinos Koukos, Iakovos Stamoulis

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 650

September 11, 2013 by hgpu

Hardware-Oblivious Parallelism for In-Memory Column-Stores

Max Heimel, Michael Saecker, Holger Pirk, Stefan Manegold, Volker Markl

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Tags: Computer science, Databases, nVidia, nVidia GeForce GTX 460, OpenCL

September 11, 2013 by hgpu

Iterative and Predictive Ray-Traced Collision Detection for Multi-GPU Architectures

Francois Lehericey

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Tags: Algorithms, Collision detection, Computer science, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 660, OpenCL, Raytracing, Thesis

September 11, 2013 by hgpu

GPU Implementations of Object Detection using HOG Features and Deformable Models

Manato Hirabayashi, Shinpei Kato, Masato Edahiro, Kazuya Takeda, Taiki Kawano, Seiichi Mita

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 580, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Tesla K20

September 11, 2013 by hgpu

A Mixed Hierarchical Algorithm for Nearest Neighbor Search

Carlo del Mundo, Mariam Umar

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Tags: Algorithms, Computer science, CUDA, Nearest neighbour, nVidia, Tesla C2075

September 11, 2013 by hgpu

Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs

Furong Huang, Niranjan U N, Mohammad Umar Hakeem, Prateek Verma, Animashree Anandkumar

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Tags: Computer science, CUDA, CULA, Machine learning, nVidia, nVidia Quadro K4000, nVidia Quadro K5000

September 9, 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

Increasing GPU Throughput using Kernel Interleaved Thread Block Scheduling

An Interface for Halo Exchange Pattern

Exploring Multiple Dimensions of Parallelism in Junction Tree Message Passing

Simulation and modeling of physical broadcasts

Histogram Computations on GPUs Kernel using Global and Shared Memory Atomics

Evaluating the Viability of Application-Driven Cooperative CPU/GPU Fault Detection

D5.5.4 – Characterization of Redundancy and Definition of Work Reuse

Hardware-Oblivious Parallelism for In-Memory Column-Stores

Iterative and Predictive Ray-Traced Collision Detection for Multi-GPU Architectures

GPU Implementations of Object Detection using HOG Features and Deformable Models

A Mixed Hierarchical Algorithm for Nearest Neighbor Search

Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs

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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