high performance computing on graphics processing units: hgpu.org

hgpu.org » CUDA

cuDNN: Efficient Primitives for Deep Learning

Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Evan Shelhamer

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Tags: Computer science, CUDA, Machine learning, Mathematical Software, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 980, Tesla K40

October 8, 2014 by hgpu

Movement Tracking in Terrain Conditions Accelerated with CUDA

Piotr Sklodowski, Witold Zorski

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 650 Ti

October 8, 2014 by hgpu

KBLAS: An Optimized Library for Dense Matrix-Vector Multiplication on GPU Accelerators

Ahmad Abdelfattah, David Keyes, Hatem Ltaief

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, Mathematical Software, nVidia, Package, Tesla K20

October 8, 2014 by hgpu

A Framework for the Volumetric Integration of Depth Images

Victor Adrian Prisacariu, Olaf Kahler, Ming Ming Cheng, Julien Valentin, Philip H.S. Torr, Ian D. Reid, David W. Murray

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Tags: Computer science, Computer vision, CUDA, nVidia

October 8, 2014 by hgpu

A new ray-tracing scheme for 3D diffuse radiation transfer on highly parallel architectures

Satoshi Tanaka, Kohji Yoshikawa, Takashi Okamoto, Kenji Hasegawa

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, Numerical simulation, nVidia, Raytracing, Tesla M2090

October 8, 2014 by hgpu

Real-time Multi-view Depth Generation Using CUDA Multi-GPU

Eunsang Ko, Yunseok Song, and Yo-Sung Ho

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX Titan

October 6, 2014 by hgpu

Accelerating NTRU Encryption with Graphics Processing Units

Tianyu Bai, Spencer Davis, Juanjuan Li, Ying Gu, Hai Jiang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Quantum computing, Security

October 6, 2014 by hgpu

Load Balancing in Data Warehouse – Evolution and Perspectives

Michal Gorawski

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Tags: Algorithms, Cloud, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 260

October 6, 2014 by hgpu

Embedding GPU Computations in Hadoop

Jie Zhu, Hai Jiang, Juanjuan Li, Erikson Hardesty, Kuan-Ching Li, Zhongwen Li

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Tags: Cloud, Computer science, CUDA, Hadoop, Heterogeneous systems, Java, MapReduce, nVidia, nVidia GeForce GTX 480, Task scheduling

October 6, 2014 by hgpu

Deep Dynamic Neural Networks for Gesture Segmentation and Recognition

Di Wu, Ling Shao

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Tags: CNN, Computer science, CUDA, Neural networks, nVidia, Package, Python, Rendering

October 4, 2014 by hgpu

GPU Accelerated Radio Wave Propagation Modeling Using Ray Tracing

Alaettin Zubaroglu

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Tags: CUDA, nVidia, Raytracing, Signal processing, Tesla C2075, Tesla K20, Thesis

October 4, 2014 by hgpu

Parallel Shortest Path Algorithm for Voronoi Diagrams with Generalized Distance Functions

Julio Toss, Joao Comba, Bruno Raffin

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Voronoi diagram

October 4, 2014 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

cuDNN: Efficient Primitives for Deep Learning

Movement Tracking in Terrain Conditions Accelerated with CUDA

KBLAS: An Optimized Library for Dense Matrix-Vector Multiplication on GPU Accelerators

A Framework for the Volumetric Integration of Depth Images

A new ray-tracing scheme for 3D diffuse radiation transfer on highly parallel architectures

Real-time Multi-view Depth Generation Using CUDA Multi-GPU

Accelerating NTRU Encryption with Graphics Processing Units

Deep Dynamic Neural Networks for Gesture Segmentation and Recognition

GPU Accelerated Radio Wave Propagation Modeling Using Ray Tracing

Parallel Shortest Path Algorithm for Voronoi Diagrams with Generalized Distance Functions

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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