high performance computing on graphics processing units: hgpu.org

Papers on hgpu.org (.txt-file)

Reverberant speech recognition combining deep neural networks and deep autoencoders augmented with a phone-class feature

Reverse Computation for Rollback-based Fault Tolerance in Large Parallel Systems: Evaluating the Potential Gains and Systems Effects

Reverse-Mode AD of Reduce-by-Index and Scan in Futhark

Review and Comparative Study of Ray Traversal Algorithms on a Modern GPU Architecture

Review of Memory/Cache Management Technologies used on Heterogeneous Computing Systems

Review: Kd-tree Traversal Algorithms for Ray Tracing

Reviewing GPU architectures to build efficient back projection for parallel geometries

Revision of Relational Joins for Multi-Core and Many-Core Architectures

Revisit Long Short-Term Memory: An Optimization Perspective

Revisiting Actor Programming in C++

Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture

Revisiting Edge and Node Parallelism for Dynamic GPU Graph Analytics

Revisiting Online Autotuning for Sparse-Matrix Vector Multiplication Kernels on High-Performance Accelerators

Revisiting Online Autotuning for Sparse-Matrix Vector Multiplication Kernels on Next-Generation Architectures

Revisiting Query Performance in GPU Database Systems

Revisiting sorting for GPGPU stream architectures

Revisiting the Case of ARM SoCs in High-Performance Computing Clusters

Revolutionary technologies for acceleration of emerging petascale applications

RGEM: A Responsive GPGPU Execution Model for Runtime Engines

Rgtsvm: Support Vector Machines on a GPU in R

Ringing: Frugal Subdivision of Curves and Surfaces

Rinnegan: Efficient Resource Use in Heterogeneous Architectures

Ripple: Simplified Large-Scale Computation on Heterogeneous Architectures with Polymorphic Data Layout

Rise of the Graphics Processor

Risk Estimation Without Using Stein’s Lemma — Application to Image Denoising

Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks

RNA secondary structure prediction using dynamic programming algorithm – A review and proposed work

RNS-Based Elliptic Curve Point Multiplication for Massive Parallel Architectures

RoadRunner: a fast and flexible exoplanet transit model

Roberts edge detection algorithm based on GPU

Robotic approach to multi-beam optical tweezers with Computer Generated Hologram

Robust Adaptive 3-D Segmentation of Vessel Laminae From Fluorescence Confocal Microscope Images and Parallel GPU Implementation

Robust Computational Tools for Multiple Testing With Genetic Association Studies

Robust Edge Detection and GPU-Based Smoothing for Extracting Surface Primitives from Range Images

Robust foreground segmentation for GPU architecture in an immersive 3D videoconferencing system

Robust GPGPU plugin development for RapidMiner

Robust GPU-assisted camera tracking using free-form surface models

Robust Low Complexity Feature Tracking using CUDA

Robust mesh reconstruction from unoriented noisy points

Robust modified L2 local optical flow estimation and feature tracking

Robust non-local denoising of colored depth data

Robust real time face recognition and tracking on gpu using fusion of rgb and depth image

Robust Real-Time Multiprocessor Interrupt Handling Motivated by GPUs

Rodinia: A benchmark suite for heterogeneous computing

Romou: Rapidly Generate High-Performance Tensor Kernels for Mobile GPUs

Room acoustics modelling using GPU-accelerated finite difference and finite volume methods on a face-centered cubic grid

Rootbeer: Seamlessly using GPUs from Java

Rotationally invariant sparse patch matching on GPU and FPGA

Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 1. Generalized Born

RSVDPACK: Subroutines for computing partial singular value decompositions via randomized sampling on single core, multi core, and GPU architectures

RTCUDB: Building Databases with RT Processors

RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing

RTSL: a Ray Tracing Shading Language

RTX Beyond Ray Tracing: Exploring the Use of Hardware Ray Tracing Cores for Tet-Mesh Point Location

RubiCL, a Library Providing Automatic Parallelisation on CPU and GPU devices

Rubus: A compiler for seamless and extensible parallelism

RUMD: A general purpose molecular dynamics package optimized to utilize GPU hardware down to a few thousand particles

Run-time Image and Video Resizing Using CUDA-enabled GPUs

Run-time Reconfigurable Multiprocessors

Run-time support for multi-level disjoint memory address spaces

Run, Stencil, Run! – A Comparison of Modern Parallel Programming Paradigms

Running Financial Risk Management Applications on FPGA in the Amazon Cloud

Running the NIM Next-Generation Weather Model on GPUs

Running unstructured grid-based CFD solvers on modern graphics hardware

Running unstructured grid-based CFD solvers on modern graphics hardware

Runtime Code Generation and Data Management for Heterogeneous Computing in Java

Runtime Comparison of CPU and GPU Using Portable Programming Models

Runtime Compilation of Array-Oriented Python Programs

Runtime Configurable Deep Neural Networks for Energy-Accuracy Trade-off

Runtime Performances Benchmark for Knowledge Graph Embedding Methods

Runtime Specialization for Heterogeneous CPU-GPU Platforms

Runtime Support for Adaptive Power Capping on Heterogeneous SoCs

Runtime Support for Performance Portability on Heterogeneous Distributed Platforms

Runtime Support toward Transparent Memory Access in GPU-accelerated Heterogeneous Systems

Runtime Systems and Scheduling Support for High-End CPU-GPU Architectures

Runtime Visualization of Application Progress and Monitoring of a GPU-enabled Parallel Environment

S-buffer: Sparsity-aware Multi-fragment Rendering

SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures

SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs

Saddle Vertex Graph (SVG): A Novel Solution to the Discrete Geodesic Problem

Safe and Practical GPU Acceleration in TrustZone

Safe Asynchronous Multicore Memory Operations

Safe, Seamless, And Scalable Integration Of Asynchronous GPU Streams In PETSc

SafeGPU: Contract- and Library-Based GPGPU for Object-Oriented Languages

SAGA: SystemC Acceleration on GPU Architectures

SAGE: Self-Tuning Approximation for Graphics Engines

SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems

Sailfish: a flexible multi-GPU implementation of the lattice Boltzmann method

SaLoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs

Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications

Sample distribution shadow maps

SAPPORO: A way to turn your graphics cards into a GRAPE-6

Sapporo2: A versatile direct N-body library

SAR focusing of P-band ice sounding data using back-projection

SAR raw signal simulation based on GPU parallel computation

SBArt4 – Breeding abstract animations in realtime

SBLOCK: A Framework for Efficient Stencil-Based PDE Solvers on Multi-core Platforms

SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing

Scalability Analysis of Parallel Algorithms on GPU Clusters

Scalability Analysis of Synchronous Data-Parallel Artificial Neural Network (ANN) Learners

 

Titles: 100

Doubles=1

open PDFs: 93

packages: 21