Transparent Runtime Migration of Loop-Based Traces of Processor Instructions to Reconfigurable Processing Units

Author:

Bispo João1ORCID,Paulino Nuno2ORCID,Cardoso João M. P.1ORCID,Ferreira João Canas2ORCID

Affiliation:

1. Departmento de Engenharia Informática, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias s/n, 4200-465 Porto, Portugal

2. INESC TEC, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias s/n, 4200-465 Porto, Portugal

Abstract

The ability to map instructions running in a microprocessor to a reconfigurable processing unit (RPU), acting as a coprocessor, enables the runtime acceleration of applications and ensures code and possibly performance portability. In this work, we focus on the mapping of loop-based instruction traces (called Megablocks) to RPUs. The proposed approach considers offline partitioning and mapping stages without ignoring their future runtime applicability. We present a toolchain that automatically extracts specific trace-based loops, called Megablocks, from MicroBlaze instruction traces and generates an RPU for executing those loops. Our hardware infrastructure is able to move loop execution from the microprocessor to the RPU transparently, at runtime, and without changing the executable binaries. The toolchain and the system are fully operational. Three FPGA implementations of the system, differing in the hardware interfaces used, were tested and evaluated with a set of 15 application kernels. Speedups ranging from 1.26 to 3.69 were achieved for the best alternative using a MicroBlaze processor with local memory.

Publisher

Hindawi Limited

Subject

Hardware and Architecture

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Generation of Customized Accelerators for Loop Pipelining of Binary Instruction Traces;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2017-01

2. Potential and methods for embedding dynamic offloading decisions into application code;Computers & Electrical Engineering;2016-10

3. A Dynamic Modulo Scheduling with Binary Translation: Loop optimization with software compatibility;Journal of Signal Processing Systems;2015-02-17

4. A Reconfigurable Architecture for Binary Acceleration of Loops with Memory Accesses;ACM Transactions on Reconfigurable Technology and Systems;2015-01-23

5. Trace-Based Reconfigurable Acceleration with Data Cache and External Memory Support;2014 IEEE International Symposium on Parallel and Distributed Processing with Applications;2014-08

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