Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 154 tok/s
Gemini 2.5 Pro 48 tok/s Pro
GPT-5 Medium 38 tok/s Pro
GPT-5 High 36 tok/s Pro
GPT-4o 109 tok/s Pro
Kimi K2 206 tok/s Pro
GPT OSS 120B 434 tok/s Pro
Claude Sonnet 4.5 39 tok/s Pro
2000 character limit reached

Resource-Aware Just-in-Time OpenCL Compiler for Coarse-Grained FPGA Overlays (1705.02730v1)

Published 8 May 2017 in cs.AR

Abstract: FPGA vendors have recently started focusing on OpenCL for FPGAs because of its ability to leverage the parallelism inherent to heterogeneous computing platforms. OpenCL allows programs running on a host computer to launch accelerator kernels which can be compiled at run-time for a specific architecture, thus enabling portability. However, the prohibitive compilation times (specifically the FPGA place and route times) are a major stumbling block when using OpenCL tools from FPGA vendors. The long compilation times mean that the tools cannot effectively use just-in-time (JIT) compilation or runtime performance scaling. Coarse-grained overlays represent a possible solution by virtue of their coarse granularity and fast compilation. In this paper, we present a methodology for run-time compilation of OpenCL kernels to a DSP block based coarse-grained overlay, rather than directly to the fine-grained FPGA fabric. The proposed methodology allows JIT compilation and on-demand resource-aware kernel replication to better utilize available overlay resources, raising the abstraction level while reducing compile times significantly. We further demonstrate that this approach can even be used for run-time compilation of OpenCL kernels on the ARM processor of the embedded heterogeneous Zynq device.

Citations (4)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.