Papers on hgpu.org (.txt-file)
Comparing GPU-based multi-volume ray casting techniques
Comparing Hardware Accelerators in Scientific Applications: A Case Study
Comparing Linear and Convex Relaxations for Stereo and Motion
Comparing Many-Core Accelerator Frameworks
Comparing Parallel Hardware Architectures for Visually Guided Robot Navigation
Comparing Parallel Simulation of Social Agents using Cilk and OpenCL
Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing
Comparing Programmer Productivity in OpenACC and CUDA: an Empirical Investigation
Comparing SYCL data transfer strategies for tracking use cases
Comparing the Power and Performance of Intel’s SCC to State-of-the-Art CPUs and GPUs
Comparing Two Generations of Embedded GPUs Running a Feature Detection Algorithm
Comparison and Analysis of GPGPU and Parallel Computing on Multi-Core CPU
Comparison and Analysis of GPU Energy Effciency For CUDA and OpenCL
Comparison and Analysis of GPU Energy Efficiency For CUDA and OpenCL
Comparison based sorting for systems with multiple GPUs
Comparison between GPU and parallel CPU optimizations in viewshed analysis
Comparison of Cilk, Kaapi and CUDA for the Jacobi Method
Comparison of CPML Implementations for the GPU-Accelerated FDTD Solver
Comparison of FPGA and GPU implementations of real-time stereo vision
Comparison of Fragmentation/Dispersion Models for Asteroid Nuclear Disruption Mission Design
Comparison of GPU Architectures for Asynchronous Communication with Finite-Differencing Applications
Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms
Comparison of OpenCL performance on different platforms using VexCL and Blaze
Comparison of OpenMP & OpenCL Parallel Processing Technologies
Comparison of OpenMP and OpenCL Parallel Processing Technologies
Comparison of parallel sorting algorithms
Comparison of Random Number Generators in Particle Swarm Optimization Algorithm
Comparison of Rectangular Matrix Multiplication with and without Border Conditions
Comparison of several parallel API for cloth modelling on modern GPUs
Comparison of Technologies for General-Purpose Computing on Graphics Processing Units
Comparison of Thread Execution Methods for GPU-oriented OpenCL Programs on Multicore Processors
COMPASS: a programmable data prefetcher using idle GPU shaders
Compensated Visual Hull for Defective Segmentation and Occlusion
Compensated Visual Hull with GPU-Based Optimization
Compensating Indirect Scattering for Immersive and Semi-Immersive Projection Displays
Competing computational approaches to reaction-diffusion equations in clusters of cells
Compilation for Heterogeneous Computing: Automating Analyses, Transformations and Decisions
Compilation techniques and language support to facilitate dependence-driven computation
Compile-time GPU memory access optimizations
Compiler and runtime techniques for bulk-synchronous programming models on CPU architectures
Compiler Assisted Runtime Adaptation
Compiler Fuzzing through Deep Learning
Compiler optimizations for directive-based programming for accelerators
Compiler Optimizations for Industrial Unstructured Mesh CFD Applications on GPUs
Compiler Optimizations for SIMD/GPU/Multicore Architectures
Compiler support for general-purpose computation on GPUs
Compiler Support for High-level GPU Programming
Compiler-Assisted Workload Consolidation For Efficient Dynamic Parallelism on GPU
Compiler-directed memory management for heterogeneous MPSoCs
Compiler-Driven Performance on Heterogeneous Computing Platforms
Compiler-Level Explicit Cache for a GPGPU Programming Framework
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research
Compilers for Portable Programming of Heterogeneous Parallel & Approximate Computing Systems
Compiling a High-level Directive-Based Programming Model for GPGPUs
Compiling a high-level language for GPUs: (via language support for architectures and compilers)
Compiling an Array Language to a Graphics Processor
Compiling and Optimizing Java 8 Programs for GPU Execution
Compiling and Optimizing OpenMP 4.X Programs to OpenCL and SPIR
Compiling for a heterogeneous vector image processor
Compiling High Performance Recursive Filters
Compiling Parallel Functional Code with Data Parallel Idealised Algol
Compiling Python to a hybrid execution environment
Compiling Stream Applications for Heterogeneous Architectures
Complete PISO and SIMPLE solvers on Graphics Processing Units
Complexity effective memory access scheduling for many-core accelerator architectures
Composability of parallel codes on heterogeneous architectures
Composing multiple StarPU applications over heterogeneous machines: a supervised approach
Composition and Reuse with Compiled Domain-Specific Languages
Compositional Compilation for Sparse, Irregular Data Parallelism
Compositional Deep Learning in Futhark
Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs
Compoundly weighted Voronoi: a sequential and parallel implementation
Comprehensive Analysis of High-Performance Computing Methods for Filtered Back-Projection
Comprehensive Optimization of Parametric Kernels for Graphics Processing Units
Comprehensive Performance Monitoring for GPU Cluster Systems
Compressed Dynamic Mode Decomposition for Real-Time Object Detection
Compressed Facade Displacement Maps
Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded Systems
Compressed Multiple-Row Storage Format
Compressed sensing using hidden Markov models with application to vision based aircraft tracking
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
Compressing Floating-Point Number Stream for Numerical Applications
Compression Domain Volume Rendering
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Compressive Phase Contrast Tomography
Computation of electron quantum transport in graphene nanoribbons using GPU
Titles: 100
open PDFs: 94
packages: 12
