OpenCL Research Papers and Articles

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

• HGPU.ORG (Searches for OpenCL)
• Google Scholar (Searches for OpenCL in date order)
• IEEE Xplore (Search for OpenCL, date ordered)
• ACM Digital Library (Search for OpenCL, date ordered)
• or try your favourite search engine….

• 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

• 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

• 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