Papers on hgpu.org (.txt-file)
Asynchronous Communication Schemes for Finite Difference Methods on Multiple GPUs
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous OpenCL/MPI numerical simulations of conservation laws
Asynchronous Parallel Computing Algorithm implemented in 1D Heat Equation with CUDA
Asynchronous Parallel Computing Model of Global Motion Estimation with CUDA
Asynchronous Task-Based Polar Decomposition on Single Node Manycore Architectures
ATI Stream Profiler: a tool to optimize an OpenCL kernel on ATI Radeon GPUs
Atmospheric turbulence removal using convolutional neural network
Atomic-free Irregular Computations on GPUs
Atos: A Task-Parallel GPU Dynamic Scheduling Framework for Dynamic Irregular Computations
Attack Signature Matching using Graphics Processors in High-Performance Intrusion Detection Systems
Attention-based NMT Models as Feature Functions in Phrase-based SMT
ATTILA: a cycle-level execution-driven simulator for modern GPU architectures
Audiovisual Voice Activity Detection and Localization of Simultaneous Speech Sources
Augmented reality live-action compositing
Augmented reality usage for prototyping speed up
Augmenting Operating Systems With the GPU
Augur: a Modeling Language for Data-Parallel Probabilistic Inference
Aurally and visually enhanced audio search with soundtorch
AUTO-GC: Automatic translation of data mining applications to GPU clusters
Auto-Generation and Auto-Tuning of 3D Stencil Codes on GPU Clusters
Auto-Generation and Auto-Tuning of 3D Stencil Codes on Homogeneous and Heterogeneous GPU Clusters
Auto-Generation of Parallel Finite-Differencing Code for MPI, TBB and CUDA
Auto-optimization of a Feature Selection Algorithm
Auto-SpMV: Automated Optimizing SpMV Kernels on GPU
Auto-tunable GPU BLAS (thesis)
Auto-tuned OpenCL kernel co-execution in OmpSs for heterogeneous systems
Auto-tuning 3-D FFT library for CUDA GPUs
Auto-tuning a High-Level Language Targeted to GPU Codes
Auto-tuning a LOFAR radio astronomy pipeline in JavaCL
Auto-Tuning CUDA Parameters for Sparse Matrix-Vector Multiplication on GPUs
Auto-Tuning Dedispersion for Many-Core Accelerators
Auto-tuning Dense Matrix Multiplication for GPGPU with Cache
Auto-tuning Dense Vector and Matrix-Vector Operations for Fermi GPUs
Auto-tuning Hybrid CPU-GPU Execution of Algorithmic Skeletons in SkePU
Auto-tuning interactive ray tracing using an analytical GPU architecture model
Auto-tuning of fast fourier transform on graphics processors
Auto-Tuning of Level 1 and Level 2 BLAS for GPUs
Auto-tuning on the macro scale: high level algorithmic auto-tuning for scientific applications
Auto-tuning Shallow water simulations on GPUs
Auto-tuning SkePU: a multi-backend skeleton programming framework for multi-GPU systems
Auto-tuning Streamed Applications on Intel Xeon Phi
Auto-Tunning of Data Communication on Heterogeneous Systems
Auto-Vectorizing a Large-scale Production Unstructured-mesh CFD Application
AutoDDL: Automatic Distributed Deep Learning with Asymptotically Optimal Communication
AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning
AutoMat – Automatic Differentiation for Generalized Standard Materials on GPUs
Automated and parallel code generation for finite-differencing stencils with arbitrary data types
Automated Architecture Design for Deep Neural Networks
Automated architecture-aware mapping of streaming applications onto GPUs
Automated Buffer Sizing of Dataflow Applications in a High-Level Synthesis Workflow
Automated C/C++ Program Repair for High-Level Synthesis via Large Language Models
Automated Deep Learning Optimization via DSL-Based Source Code Transformation
Automated development of applications for graphical processing units using rewriting rules
Automated Dynamic Analysis of CUDA Programs
Automated Enhanced Parallelization of Sequential C to Parallel OpenMP
Automated Generation of OpenCL Programs Based on Algebra-Algorithmic Approach
Automated GPU Kernel Transformations in Large-Scale Production Stencil Applications
Automated image alignment for 2D gel electrophoresis in a high-throughput proteomics pipeline
Automated Partitioning of Data-Parallel Kernels using Polyhedral Compilation
Automated Runtime Analysis and Adaptation for Scalable Heterogeneous Computing
Automated Software Testing of Memory Performance in Embedded GPUs
Automated Techniques for Enabling Efficient MPI Application Migration
Automated test generation for OpenCL kernels using fuzzing and constraint solving
Automated Testing of Graphics Shader Compilers
Automated Tool to Generate Parallel CUDA code from a Serial C Code
Automatic abstraction and fault tolerance in cortical microachitectures
Automatic acceleration of Numpy applications on GPUs and multicore CPUs
Automatic and Explicit Parallelization Approaches for Mathematical Simulation Models
Automatic bi-layer video segmentation based on sensor fusion
Automatic BLAS Offloading on Unified Memory Architecture: A Study on NVIDIA Grace-Hopper
Automatic C-to-CUDA Code Generation for Affine Programs
Automatic classification of object code using machine learning
Automatic Code Generation and Adaptive Grid Scheduling for GPU Cluster Computing
Automatic code generation and tuning for stencil kernels on modern shared memory architectures
Automatic code generation for solvers of cardiac cellular membrane dynamics in GPUs
Automatic Code Generation for Stencil Computations on GPU Architectures
Automatic code generation methods applied to numerical linear algebra in high performance computing
Automatic Code Rewriting for Performance Portability
Automatic Command Queue Scheduling for Task-Parallel Workloads in OpenCL
Automatic Compilation for Heterogeneous Architectures with Single Assignment C
Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors
Automatic Compiler Based FPGA Accelerator for CNN Training
Automatic contention detection and amelioration for data-intensive operations
Automatic CPU-GPU communication management and optimization
Automatic CUDA Code Synthesis Framework for Multicore CPU and GPU architectures
Automatic Data Layout Generation and Kernel Mapping for CPU+GPU Architectures
Automatic Data Layout Optimizations for GPUs
Automatic Detection and Denoising of Signals in Large Geophysical Datasets
Automatic Discovery of Algorithms for Multi-Agent Systems
Automatic Dynamic Task Distribution between CPU and GPU for Real-Time Systems
Titles: 100
open PDFs: 92
packages: 15