Project/Area Number |
09450162
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
計測・制御工学
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Research Institution | TOHOKU UNIVERSITY |
Principal Investigator |
KAMEYAMA Michitaka Graduate School of information Sciences, Tohoku University, Professor, 大学院・情報科学研究科, 教授 (70124568)
|
Co-Investigator(Kenkyū-buntansha) |
HARIYAMA Masanori Graduate School of information Sciences, Tohoku University, Research Associate, 大学院・情報科学研究科, 助手 (10292260)
HANYU Takahiro Graduate School of information Sciences, Tohoku University, Associate Professor, 大学院・情報科学研究科, 助教授 (40192702)
|
Project Period (FY) |
1997 – 1999
|
Project Status |
Completed (Fiscal Year 1999)
|
Budget Amount *help |
¥6,800,000 (Direct Cost: ¥6,800,000)
Fiscal Year 1999: ¥3,700,000 (Direct Cost: ¥3,700,000)
Fiscal Year 1998: ¥3,100,000 (Direct Cost: ¥3,100,000)
|
Keywords | Intelligent Integrated Systems for Real-World Applications / High-Level Synthesis / Scheduling / Allocation / Logic-In-Memory Architecture / Spacially Parallel Structure / Interconnection Network / ロジックインメモリアーキテクチャ / 並列構造VLSIプロセッサ / 演算遅れ時間最小化 / 並列データ供給 / 衝突チェックVLSIプロセッサ / ステレオビジョンVLSIプロセッサ / パイプライン並列構造 / 3次元計測VLSIプロセッサ |
Research Abstract |
Real-world applications need to achieve very quick response for dynamically changing real-world environment. As broad typical examples of the real-world applications, highly-safe systems, robot systems and multimedia systems are considered, and High-level synthesis for their VLSI processors are studied. An optimization problem such that an objective function corresponding to a certain physical factor is discussed under physical constraints in the high-level synthesis. Our approach for the high-level synthesis starts from concrete applications. They are a stereo vision VLSI processor, a collision detection VLSI processor and a path-planning VLSI processor. First, we considered a VLSI-oriented algorithm for each application. Then, optimal structure of arithmetic and logic blocks are derived from the view points of performances and chip areas. The major results are shown below: 1. To design high performance VLSI processors in deep-submicron age, it is required to find the architecture such
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that there is no effect on interconnection delay in parallel data transfer between memories and arithmetic modules. For the high-speed and efficient parallel data transfer, an optimal allocation method is developed, and it is applied to design of a stereo vision VLSI processor. The evaluation shows that the performance is greatly increased over the conventional architecture. 2. As a collision detection VLSI processor, we proposed a VLSI-oriented algorithm based on hierarchically iteration of coordinate transformation and matching operation. It is confirmed by implementation of the chip that Read-only content addressable memory and bit-serial pipeline architecture make the performance of the VLSI processor very high. 3. As an intelligent robot which works autonomously in unknown environment, we proposed a fast path planning algorithm to find a feasible collision-free path. One of the most promising configuration is selected according to a distance between every point in free space and the nearest obstacle. The configuration selection keeps a robot as far away as possible from obstacles, and reduces the number of configurations for collision detection. Moreover, a highly-parallel processor based on logic-in-memory architecture and redundancy of processing elements is proposed to overcome a transfer bottleneck between memory and processing elements. Less
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