high performance computing on graphics processing units: hgpu.org

Papers on hgpu.org (.txt-file)

Block-Relaxation Methods for 3D Constant-Coefficient Stencils on GPUs and Multicore CPUs

Block-Size Independence for GPU Programs

Blockchain Goes Green? Part II: Characterizing the Performance and Cost of Blockchains on the Cloud and at the Edge

Blocked All-Pairs Shortest Paths Algorithm on Intel Xeon Phi KNL Processor: A Case Study

Blocking Self-avoiding Walks Stops Cyber-epidemics: A Scalable GPU-based Approach

Blocks and Fuel: Frameworks for deep learning

Blum Blum Shub on the GPU

Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms

Bohrium: Unmodified NumPy Code on CPU, GPU, and Cluster

Boids that see: Using self-occlusion for simulating large groups on GPUs

Bolt: Bridging the Gap between Auto-tuners and Hardware-native Performance

Bone structure analysis on multiple GPGPUs

Bone Structure Analysis with GPGPUs

Bonsai: A GPU Tree-Code

Boosted Algorithms for Visual Object Detection on Graphics Processing Units

Boosting GPU Virtualization Performance with Hybrid Shadow Page Tables

Boosting Java Performance using GPGPUs

Boosting quantum evolutions using Trotter-Suzuki algorithms on GPUs

Boosting sphere decoding speed through Graphic Processing Units

BootCMatchG: An adaptive Algebraic MultiGrid linear solver for GPUs

BOPM implemented on a GPU-architecture

Bothnia: a dual-personality extension to the Intel integrated graphics driver

Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPU

Bouncing Behavior of Microscopic Dust Aggregates

Bound the Peak Performance of SGEMM on GPU with software-controlled fast memory

Bounding the effect of partition camping in GPU kernels

Bounds Checking on GPU

Bounds on the Energy Consumption of Computational Kernels

Brain perfusion imaging: performance and accuracy

BrainCove: A Tool for Voxel-wise fMRI Brain Connectivity Visualization

BrainFrame: A heterogeneous accelerator platform for neuron simulations

BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism

Branch and Data Herding: Reducing Control and Memory Divergence for Error-tolerant GPU Applications

Breadth First Search Vectorization on the Intel Xeon Phi

Breadth-First Search using Dynamic Parallelism on the GPU

Breaking DVB-CSA

Breaking ECC2K-130

Breaking the GPU programming barrier with the auto-parallelising SAC compiler

Bridging Control-Centric and Data-Centric Optimization

Bridging OpenCL and CUDA: A Comparative Analysis and Translation

Bridging parallel and reconfigurable computing with multilevel PGAS and SHMEM+

Bridging the Gap between FPGAs and Multi-Processor Architectures: A Video Processing Perspective

Bridging the GPGPU-FPGA efficiency gap

Bridging the Performance-Programmability Gap for FPGAs via OpenCL: A Case Study with OpenDwarfs

Bridging the Semantic Gaps of GPU Acceleration for Scaleout CNN-based Big Data Processing: Think Big, See Small

Brief announcement: better speedups for parallel max-flow

Brief Announcement: On the Limits of Parallelizing Convolutional Neural Networks on GPUs

Bringing OpenCL to Commodity RISC-V CPUs

Bringing Parallel Performance to Python with Domain-Specific Selective Embedded Just-in-Time Specialization

Brook for GPUs: Stream Computing on Graphics Hardware

Brownian Dynamics of Active Sphere Suspensions Confined Near a No-Slip Boundary

Brownian dynamics simulations on CPU and GPU with BD_BOX

Browsing a Large Collection of Community Photos Based on Similarity on GPU

Browsing Large Image Datasets through Voronoi Diagrams

Brute force de-shredding algorithm using the GPU

Brute-Force k-Nearest Neighbors Search on the GPU

BSGP: bulk-synchronous GPU programming

Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs

Buffer overflow vulnerabilities in CUDA: a preliminary analysis

Bufferless NOC Simulation of Large Multicore System on GPU Hardware

Build and Travel KD-Tree with CUDA

Building a Performance Model for Deep Learning Recommendation Model Training on GPUs

Building a Personal High Performance Computer with Heterogeneous Processors

Building a Real-Time Multi-GPU Platform: Robust Real-Time Interrupt Handling Despite Closed-Source Drivers

Building Correlators with Many-Core Hardware

Building Human Brain Network in 3D Coefficient Map Determined by X-ray Microtomography

Building Multiclass Nonlinear Classifiers with GPUs

Building Source-to-Source Compilers for Heterogeneous Targets

Building-Blocks for Performance Oriented DSLs

Bulk Execution of Oblivious Algorithms on the Unified Memory Machine, with GPU Implementation

Bulk GCD Computation Using a GPU to Break Weak RSA Keys

Bump Mapping Unparametrized Surfaces on the GPU

Bundled depth-map merging for multi-view stereo

Burrows-Wheeler Aligner: A Parallel Approach

BVH for efficient raytracing of dynamic metaballs on GPU

C and CUDA Implementation for SIRT and SART Reconstruction Algorithms

C Language Extensions for Hybrid CPU/GPU Programming with StarPU

C to Cellular Automata and Execution on CPU, GPU and FPGA

C-DAC’s Efforts – Application Kernels on HPC Cluster with GPU Accelerators

C-for-Metal: High Performance SIMD Programming on Intel GPUs

C++ AMP: Accelerated Massive Parallelism with Microsoft Visual C++

Cache and bandwidth aware matrix multiplication on the GPU

Cache Miss Analysis for GPU Programs Based on Stack Distance Profile

Cache-efficient numerical algorithms using graphics hardware

CADDIES: A New Framework for Rapid Development of Parallel Cellular Automata Algorithms for Flood Simulation

Caffe con Troll: Shallow Ideas to Speed Up Deep Learning

Caffe: Convolutional Architecture for Fast Feature Embedding

Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks

Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks

CaffeLink: Mathematica binding for Caffe Deep Learning Framework

CaffePresso: An Optimized Library for Deep Learning on Embedded Accelerator-based platforms

Calamari – A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition

Calculation by articificial compressibility method and virtual flux method on GPU

Calculation of fermion loops for eta-prime and nucleon scalar and electromagnetic form factors

Calculation of Force Field Grids for Molecular Docking Using Graphics Processing Unit

Calculation of HELAS amplitudes for QCD processes using graphics processing unit (GPU)

Calculation of Stochastic Heating and Emissivity of Cosmic Dust Grains with Optimization for the Intel Many Integrated Core Architecture

Calculation of weight vectors for wideband beamforming using Graphics Processing Units

CAMPAIGN: An open-source Library of GPU-accelerated Data Clustering Algorithms

Can CUDA be exposed through web services?

 

Titles: 100

open PDFs: 90

packages: 28