| ||||||||||||||||||
|
Keynote 1.
John
Cornish (Director, Product Marketing ARM Ltd.,)
[A] Title: Energy Optimisation in Multi-Core Systems [B] Abstract: Energy efficiency is now the number one issue for many applications, determining weight and cost, and constraining performance. As the industry moves to 90 nm and 65 nm processes the efficiency limitations of complex uni-processors are becoming more apparent. Multi-processor systems have traditionally been used to deliver high computational performance for demanding applications. In the system-on-chip world multi-core designs can also deliver greater energy efficiency than comparable uni-processors. In a multi-core system the programmer identifies opportunities for parallel execution and writes threads which can be dynamically assigned to individual processors. In a high performance uni-processor, instruction level parallelism must be extracted using large numbers of logic gates which consume both silicon area and power. Multi-core implementations can deliver other power advantages as a result of their scalability. For light workloads CPUs can be turned off completely or can be voltage scaled to minimise dynamic power while still satisfying application requirements and user expectations. The fundamental energy advantages of multi-core design provide a powerful incentive to address the software challenges of symmetric multi-processing. This presentation describes work which ARM and its partners are doing to realise the full potential of multi-core design for system-on-chip. |
|
Lecture 2-2.
Shorin KYO (Principal
Researcher NEC Corporation) [A] Title: Programmable SIMD Highly Parallel Processor Chips for Real-time Video Recognition Applications [B] Abstract: Real-time video recognition requires very high performance against complex algorithms, due to the large amount of pixel data and also the large variety of open-air scenes, nevertheless compactness and power effectiveness are often the requirement of its hardware implementation. After a brief review of some previous challenges, a highly parallel video recognition chip targeting for vision-based intelligent cruise control applications is presented. By integrating 128 4-way VLIW (Very Low Instruction Word) PEs based on a SIMD linear array architecture and operating at 100 MHz, the chip provides a computation power enough for a weather robust lane mark and vehicle detection function written in a high level programming language, to run in video rate, while at the same time satisfies power efficiency requirements of an in-vehicle LSI. Basing on four basic parallel methods and a software environment including an optimizing compiler of an extended C language, efficient development of real-time video recognition applications that effectively utilize the 128 processing elements are facilitated. Benchmark results show that, the chip can provide a four times better performance compared with a 2.4 GHz general purpose micro-processor. The result shows the potential of highly parallel processors as a major hardware architecture for real-time video recognition applications. |
|
Lecture 1.
Satoshi Matsuoka (Professor / Global Scientific Information & Computing Center,
Tokyo Institute of Technology) [A] Title: Grid-Cluster Federation: Towards a Petascale Research Grid Infrastructure [B] Abstract: Grid computing will not only allow researchers to tackle large problems not possible with current computing infrastructures, but also will make available large, collaborative virtual computing environments throughout within organizations as well as across organizations, in some cases on a global scale. We believe that a federation of clusters, ranging from the very small to very large on a Grid, will serve as the mainstream computing as well as storage resources to address its massive IT resource needs. The talk will cover our ongoing R&D efforts to effectively implement such infrastructures that surmount to facilitating multi-teraflops to petaflops of computing power and multi-petabytes of storage in an ubiquitous fashion, namely (1) The Titech Campus Grid project, an experimental Grid deployment project within the Titech campus, consisting of over 1000 processors of various GSIC resources, (2) the latest Japanese National Research Grid Initiative (NAREGI) that aims to build the next generation Grid middleware intended to be used throughout the research Grids in Japan as well as other in other countries, and structured to be a triage of Grid middleware R&D, Grid enabling of Nanoscience Applications, as well as facilitating of 100Teraflops scale testbed and demonstration of grand-challenge Nanoscince applications thereof, and finally (3) the JST-CREST MegaScale project that attempts to address the issue of massive power consumption, very large space, as well as reliability requirements via advanced application of low power and dependable computing technology to such Grid-Cluster federation environments. |
|
Panel Discussion
[A]Title: Outlook for low-power and high-performance processor design: - How can we survive in an era of billion-transistor chips? - Thanks to rapid progress in semiconductor technology, we are entering an era of billion-transistor chips. Even at the moment, aggressive architectures discussed on the papers a couple of years ago are now commercially available as advanced processors is not a rare case. As we will virtually be able to bring anything we want into a chip, one of the primary limitations in designing processor architectures may be architects' imagination. To survive in the billion-transistor era, we have to find the right solution to avoid the serious situation of starving in plenty of food in processor design with billion transistor budget. The panel tries to explore the various kinds of design space to pursue not only computing performance and functionality, but also their power and space efficiency, from the viewpoints from logic design to system-level integration, under the consideration of the requirements in many application fields. [B]Moderator: Hiroaki Kobayashi, Professor, Tohoku University [C]Panelists: Hideharu Amano, Professor, Keio University Tack-Don Han, Professor, Yonsei University Albert A. Liddicoat, Professor, California Polytechnic State University Yasuhiko Hagihara, Researcher, NEC Wonyong Sung, Professor, Seoul National University Osamu Takahashi, Researcher, IBM Austin
|