The number of OpenCL research papers is growing fast and here are a few good search tools for finding them:

Research Papers – OpenCL Newsletter – Issue 20

  • On the Portability of CPU-Accelerated Applications via Automated Source-to-Source Translation more
  • A Translation Framework from RVC-CAL Dataflow Programs to OpenCL/SYCL based Implementations more
  • GPU-based Parallel Computation Support for Stan more
  • Performance Evaluation of Tsunami Simulation Exploiting Temporal Parallelism on FPGAs using OpenCL more
  • A Unified Optimization Approach for CNN Model Inference on Integrated GPUs more
  • Automated Generation of OpenCL Programs Based on Algebra-Algorithmic Approach more
  • ReSYCLator: Transforming CUDA C++ source code into SYCL more
  • Data-Parallel Flattening by Expansion more
  • MGPUSim: Enabling Multi-GPU Performance Modeling and Optimization more
  • High-Performance Deep Learning via a Single Building Block more
  • Performance Evaluation and Analysis of Sparse Matrix and Graph Kernels on Heterogeneous Processors more
  • FPGA-based Implementation of Memory-Intensive Application using OpenCL more
  • SYCL Code Generation for Multigrid Methods more
  • Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs more
  • PPOpenCL: a performance-portable OpenCL compiler with host and kernel thread code fusion more
  • Temporospatial Epidemic Simulations Using Heterogeneous Computing more

Research Papers – OpenCL Newsletter – Issue 19

  • The Study of the OpenCL Processing Models for the FPGA Devices more
  • Full-System Simulation of Mobile CPU/GPU Platforms more
  • Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey more
  • Dynamic Application Autotuning for Self-Aware Approximate Computing more
  • Hybrid CPU-GPU execution support in the skeleton programming framework SkePU more
  • HeteroMap: A Runtime Performance Predictor for Efficient Processing of Graph Analytics on Heterogeneous Multi-Accelerators more

Research Papers – OpenCL Newsletter – Issue 18

  • The ANTAREX Domain Specific Language for High Performance Computing more
  • Accelerating ternary quantized convolutional neural networks using OpenCL for FPGA more
  • Novel Data-Partitioning Algorithms for Performance and Energy Optimization of Data-Parallel Applications on Modern Heterogeneous HPC Platforms more
  • CLTestCheck: Measuring Test Effectiveness for GPU Kernels more
  • Performance Optimization of Memory Intensive Applications on FPGA Accelerator more
  • Improving GPU Performance through Instruction Redistribution and Diversification more
  • Energy Efficient Parallel K-Means Clustering for an Intel Hybrid Multi-Chip Package more
  • On the Portability of GPU-Accelerated Applications via Automated Source-to-Source more
  • Cooperative CPU, GPU, and FPGA heterogeneous execution with EngineCL more
  • An Empirically Guided Optimization Framework for FPGA OpenCL more