Is Altera’s OpenCL SDK ready for business?

Evaluation of CHO Benchmarks on the Arria 10 FPGA using Intel FPGA SDK for OpenCL

Application-level Performance Optimization: A Computer Vision Case Study on STHORM

Computer vision applications constitute one of the key drivers for embedded many-core architectures. In order to exploit the full potential of such systems, a balance between computation and communication is critical, but many computer vision algorithms present a highly datadependent behavior that complexifies this task. To enable application performance optimization, the development environmen...

SqueezCL: Squeezing OpenCL Kernels for Approximate Computing on Contemporary GPUs

Approximate computing provides an opportunity for exploiting application characteristics to improve performance of computing systems. However, such opportunity must be balanced against generality of methods and quality guarantees that the system designer can provide to the application developer. Improved parallel processing in graphics processing units (GPUs) provides one such means for data-le...

A Comparison of High-Level Design Tools for SoC-FPGA on Disparity Map Calculation Example

Modern SoC-FPGA that consists of FPGA with embedded ARM cores is being popularized as an embedded vision system platform. However, the design approach of SoCFPGA applications still follows traditional hardware-software separate workflow, which becomes the barrier of rapid product design and iteration on SoC-FPGA. High-Level Synthesis (HLS) and OpenCL-based system-level design approaches provide...

IPMACC: Open Source OpenACC to CUDA/OpenCL Translator

In this paper we introduce IPMACC, a framework for translating OpenACC applications to CUDA or OpenCL. IPMACC is composed of set of translators translating OpenACC for C applications to CUDA or OpenCL. The framework uses the system compiler (e.g. nvcc) for generating final accelerator’s binary. The framework can be used for extending the OpenACC API, executing OpenACC applications, or obtaining...