Paper Info
Title
OSCAR API for real-time low-power multicores and its performance on multicores and SMP servers
Abstract
OSCAR (Optimally Scheduled Advanced Multiprocessor) API has been designed for real-time embedded low-power multicores to generate parallel programs for various multicores from different vendors by using the OSCAR parallelizing compiler. The OSCAR API has been developed by Waseda University in collaboration with Fujitsu Laboratory, Hitachi, NEC, Panasonic, Renesas Technology, and Toshiba in an METI/NEDO project entitled “Multicore Technology for Realtime Consumer Electronics.” By using the OSCAR API as an interface between the OSCAR compiler and backend compilers, the OSCAR compiler enables hierarchical multigrain parallel processing with memory optimization under capacity restriction for cache memory, local memory, distributed shared memory, and on-chip/off-chip shared memory; data transfer using a DMA controller; and power reduction control using DVFS (Dynamic Voltage and Frequency Scaling), clock gating, and power gating for various embedded multicores. In addition, a parallelized program automatically generated by the OSCAR compiler with OSCAR API can be compiled by the ordinary OpenMP compilers since the OSCAR API is designed on a subset of the OpenMP. This paper describes the OSCAR API and its compatibility with the OSCAR compiler by showing code examples. Performance evaluations of the OSCAR compiler and the OSCAR API are carried out using an IBM Power5+ workstation, an IBM Power6 high-end SMP server, and a newly developed consumer electronics multicore chip RP2 by Renesas, Hitachi and Waseda. From the results of scalability evaluation, it is found that on an average, the OSCAR compiler with the OSCAR API can exploit 5.8 times speedup over the sequential execution on the Power5+ workstation with eight cores and 2.9 times speedup on RP2 with four cores, respectively. In addition, the OSCAR compiler can accelerate an IBM XL Fortran compiler up to 3.3 times on the Power6 SMP server. Due to low-power optimization on RP2, the OSCAR compiler with the OSCAR API achieves a maximum power reduction of 84% in the real-time execution mode.
Year
DOI
Venue
2009
10.1007/978-3-642-13374-9_13
LCPC
Keywords
Field
DocType
local memory,ordinary openmp compiler,smp server,times speedup,cache memory,oscar compiler,oscar api,backend compiler,memory optimization,ibm xl fortran compiler,real-time low-power multicores,oscar parallelizing compiler,clock gating,chip,data transfer,parallel processing,real time,distributed shared memory,shared memory
POWER6,Shared memory,Computer science,CPU cache,Parallel computing,Fortran,Compiler,Distributed shared memory,Multi-core processor,Operating system,Speedup
Conference
Volume
ISSN
ISBN
5898
0302-9743
3-642-13373-8
Citations 
PageRank 
References 
12
0.81
11
Authors
6
Name
Order
Citations
PageRank
Keiji Kimura112023.20
Masayoshi Mase2364.73
Hiroki Mikami3285.48
Takamichi Miyamoto4231.98
Jun Shirako543334.56
Hironori Kasahara628544.35