posted on 2016-07-25, 13:16authored byVassilios Chouliaras, David Stevens, Vincent Dwyer
We discuss VThreads, a novel VLIW CMP with hardware-assisted shared-memory Thread support. VThreads supports Instruction Level Parallelism via static multiple-issue and Thread Level Parallelism via hardware-assisted POSIX Threads along with extensive customization. It allows the instantiation of tightlycoupled streaming accelerators and supports up to 7-address Multiple-Input, Multiple-Output instruction extensions. VThreads is designed in technology-independent Register-Transfer-Level VHDL and prototyped on 40 nm and 28 nm Field-Programmable gate arrays. It was evaluated against a PThreads-based multiprocessor
based on the Sparc-V8 ISA. On a 65 nm ASIC implementation VThreads achieves up to x7.2
performance increase on synthetic benchmarks, x5 on a parallel Mandelbrot implementation, 66% better on a threaded JPEG implementation, 79% better on an edge-detection benchmark and ~13% improvement on DES compared to the Leon3MP CMP. In the range of 2 to 8 cores VThreads demonstrates a post-route (statistical) power reduction between 65% to 57% at an area increase of 1.2%-10% for 1-8 cores, compared to a similarly-configured Leon3MP CMP. This combination of micro-architectural features, scalability, extensibility,
hardware support for low-latency PThreads, power efficiency and area make the processor an attractive proposition for low-power, deeply-embedded applications requiring minimum OS support.
Funding
This research was partially supported by the EU FP7 ENOSYS project
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
Microprocessors and Microsystems
Citation
CHOULIARAS, V.A., STEVENS, D. and DWYER, V.M., 2016. VThreads: A novel VLIW chip multiprocessor with hardware-assisted PThreads. Microprocessors and Microsystems, 47 pt.B, pp.466-485.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Acceptance date
2016-07-04
Publication date
2016
Notes
This paper was accepted for publication in the journal Microprocessors and Microsystems and the definitive published version is available at http://dx.doi.org/10.1016/j.micpro.2016.07.010.