Papers on hgpu.org (.txt-file)
End-to-end Deep Learning of Optimization Heuristics
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning
End-to-end Optimization of Machine Learning Prediction Queries
EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models
Energy Auto-tuning using the Polyhedral Approach
Energy conservation techniques for GPU computing
Energy consumption of Graphic Processing Units with respect to automotive use-cases
Energy Efficiency Analysis of GPUs
Energy Efficiency Benefits of Reducing the Voltage Guardband on the Kepler GPU Architecture
Energy efficiency of mixed precision iterative refinement methods using hybrid hardware platforms
Energy Efficiency Studies of Mont Blanc Applications
Energy efficient biomolecular simulations with FPGA-based reconfigurable computing
Energy Efficient Computing on Multi-core Processors: Vectorization and Compression Techniques
Energy Efficient Parallel K-Means Clustering for an Intel Hybrid Multi-Chip Package
Energy Evaluation for Applications with Different Thread Affinities on the Intel Xeon Phi
Energy Transfer Ray Tracing with OptiX
Energy-and cost-efficient Lattice-QCD computations using graphics processing units
Energy-aware metrics for benchmarking heterogeneous systems
Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters
Energy-based Tuning of Convolutional Neural Networks on Multi-GPUs
Energy-Efficient Collective Reduce and Allreduce Operations on Distributed GPUs
Energy-efficient computing for extreme-scale science
Energy-Efficient Execution of Data-Parallel Applications on Heterogeneous Mobile Platforms
Energy-Efficient FPGA Implementation for Binomial Option Pricing Using OpenCL
Energy-efficient FPGA Implementation of the k-Nearest Neighbors Algorithm Using OpenCL
Energy-Efficient GPU Clusters Scheduling for Deep Learning
Energy-efficient mechanisms for managing thread context in throughput processors
Energy-saving techniques for low-power graphics processing unit
EngineCL: Usability and Performance in Heterogeneous Computing
Engineering a static verification tool for GPU kernels
Engineering Concurrent Software Guided by Statistical Performance Analysis
Engineering of Computer Vision Algorithms Using Evolutionary Algorithms
Engineering Supercomputing Platforms for Biomolecular Applications
Enhanced implementation of the NTRUEncrypt algorithm using graphics cards
Enhanced molecular dynamics performance with a programmable graphics processor
Enhanced Parallel NegaMax Tree Search Algorithm on GPU
Enhancing and Porting the HPC-Lab Snow Simulator to OpenCL on Mobile Platforms
Enhancing Data Parallelism for Ant Colony Optimisation on GPUs
Enhancing data parallelism for Ant Colony Optimization on GPUs
Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization
Enhancing Depth-Perception with Flexible Volumetric Halos
Enhancing Fluid Modeling with Turbulence and Acceleration
Enhancing GPU Parallelism in Nature-Inspired Algorithms
Enhancing Performance for Solving Finite Element Mesh using Heterogeneous Platforms
Enhancing Performance of Meshfree Methods by Hybrid Computing
Enhancing Performance of Simulations using GPGPU
Enhancing Productivity and Performance Portability of General-Purpose Parallel Programming
Enhancing R with Advanced Compilation Tools and Methods
Enhancing the Performance Portability of Heterogeneous Circuit Analysis Programs
Enhancing the simulation of P systems for the SAT problem on GPUs
Enhancing Transformer Performance and Portability through Auto-tuning Frameworks
Enhancing Ubiquitous Systems through System Call Mining
Ensemble K-Means on Modern Many Core Hardware
Ensemble K-means on multi-core architectures
Entropy-based High Performance Computation of Boolean SNP-SNP Interactions Using GPUs
Environment Lighting for Point Sampled Geometry
Environment Segmentation in Service Robotics
EPEM: A General and Validated Energy Complexity Model for Multithreaded Algorithms
EPSILOD: efficient parallel skeleton for generic iterative stencil computations in distributed GPUs
Equalizer 2.0 – Convergence of a Parallel Rendering Framework
Equalizer: A Scalable Parallel Rendering Framework
Equilibrium and Non-Equilibrium Ising Models by Means of PCA
EQUIPE: Parallel equivalence checking with GP-GPUs
Error Resilience Evaluation on GPGPU Applications
Error-bounded GPU-supported terrain visualisation
ESE: Efficient Speech Recognition Engine with Compressed LSTM on FPGA
Espresso: A Fast End-to-end Neural Speech Recognition Toolkit
Espresso: Efficient Forward Propagation for BCNNs
Estimating GPU Speedups for Programs Without Writing a Single Line of GPU Code
Estimating the WCET of GPU-Accelerated Applications using Hybrid Analysis
Estimation of numerical reproducibility on CPU and GPU
Evacuation Route Modeling and Planning with General Purpose GPU Computing
Evaluating 3-D Stencil codes on Intel Xeon Phi: Limitations and Trade-offs
Evaluating CP2K on Exascale Hardware: Intel Xeon Phi
Evaluating different Java bindings for OpenCL
Evaluating GPU Passthrough in Xen for High Performance Cloud Computing
Evaluating GPUs for network packet signature matching
Evaluating graph coloring on GPUs
Evaluating High-Level Synthesis Techniques for Scalable Hardware-Accelerated Computing
Evaluating kernels on Xeon Phi to accelerate Gysela application
Evaluating multi-core platforms for HPC data-intensive kernels
Evaluating one-sided programming models for GPU cluster computations
Evaluating Operators in Deep Neural Networks for Improving Performance Portability of SYCL
Evaluating performance and portability of OpenCL programs
Evaluating Performance Portability of Accelerator Programming Models using SPEC ACCEL 1.2 Benchmarks
Titles: 100
open PDFs: 96
packages: 20