Title :
RISPP: Rotating Instruction Set Processing Platform
Author :
Bauer, Lars ; Shafique, Muhammad ; Kramer, Simon ; Henkel, Jörg
Author_Institution :
Univ. of Karlsruhe, Karlsruhe
Abstract :
Adaptation in embedded processing is key in order to address efficiency. The concept of extensible embedded processors works well if a few a-priori known hot spots exist. However, they are far less efficient if many and possible at-design-time-unknown hot spots need to be dealt with. Our RISPP approach advances the extensible processor concept by providing flexibility through runtime adaptation by what we call "instruction rotation". It allows sharing resources in a highly flexible scheme of compatible components (called atoms and molecules). As a result, we achieve high speed-ups at moderate additional hardware. Furthermore, we can dynamically tradeoff between area and speed-up through runtime adaptation. We present the main components of our platform and discuss by means of an H.264 video codec.
Keywords :
embedded systems; instruction sets; microprocessor chips; multiprocessing systems; reconfigurable architectures; RISPP platform; embedded processing; extensible embedded processors; rotating instruction set processing platform; runtime adaptation; Application specific processors; Automotive engineering; Embedded computing; Embedded system; Hardware; Mobile communication; Permission; Process design; Runtime; Video codecs; ASIP; Design; Performance; extensible embedded processors; reconfigurable computing; run-time adaptation;
Conference_Titel :
Design Automation Conference, 2007. DAC '07. 44th ACM/IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-59593-627-1