Software and compilers for embedded systems : 7th International Workshop, SCOPES 2003, Vienna, Austria, September 24-26, 2003 : proceedings
著者
書誌事項
Software and compilers for embedded systems : 7th International Workshop, SCOPES 2003, Vienna, Austria, September 24-26, 2003 : proceedings
(Lecture notes in computer science, 2826)
Springer, c2003
大学図書館所蔵 全20件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
This volume contains the proceedings of the 7th International Workshop on Software and Compilers for Embedded Systems, SCOPES 2003, held in Vienna, Austria, September 24-26, 2003. Initially, the workshop was referred to as the International Workshop on Code Generation for Embedded Systems. The ?rst workshop took place in 1994 in Schloss Dagstuhl, Germany. From its beg- nings, the intention of the organizers was to create an atmosphere in which the researcherscould participateactively in dynamic discussionsand pro?t from the assembly of international experts in the ?eld. It was at the fourth workshop, in St. Goar, Germany, in 1999, that the spectrum of topics of interest for the workshop was extended, and not only code generation, but also software and compilers for embedded systems, were considered. The change in ?elds of interest led to a change of name, and this is when the present name was used for the ?rst time. Since then, SCOPES has been held again in St. Goar, Germany, in 2001; Berlin, Germany, in 2002; and this year, 2003, in Vienna, Austria. In response to the call for papers, 43 very strong papers from all over the world were submitted. The program committee selected 26 papers for pres- tation at SCOPES 2003. All submitted papers were reviewed by at least three experts in order to ensure the quality of the work presented at the workshop.
目次
Invited Talk.- The Transmeta Crusoe: VLIW Embedded in CISC.- Code Size Reduction.- Limited Address Range Architecture for Reducing Code Size in Embedded Processors.- Predicated Instructions for Code Compaction.- Code Generation for a Dual Instruction Set Processor Based on Selective Code Transformation.- Code Selection.- Code Instruction Selection Based on SSA-Graphs.- A Code Selection Method for SIMD Processors with PACK Instructions.- Reconstructing Control Flow from Predicated Assembly Code.- Loop Optimizations.- Control Flow Analysis for Recursion Removal.- An Unfolding-Based Loop Optimization Technique.- Tailoring Software Pipelining for Effective Exploitation of Zero Overhead Loop Buffer.- Automatic Retargeting.- Case Studies on Automatic Extraction of Target-Specific Architectural Parameters in Complex Code Generation.- Extraction of Efficient Instruction Schedulers from Cycle-True Processor Models.- System Design.- A Framework for the Design and Validation of Efficient Fail-Safe Fault-Tolerant Programs.- A Case Study on a Component-Based System and Its Configuration.- Composable Code Generation for Model-Based Development.- Code Generation for Packet Header Intrusion Analysis on the IXP1200 Network Processor.- Register Allocation.- Retargetable Graph-Coloring Register Allocation for Irregular Architectures.- Fine-Grain Register Allocation Based on a Global Spill Costs Analysis.- Offset Assignment.- Unified Instruction Reordering and Algebraic Transformations for Minimum Cost Offset Assignment.- Improving Offset Assignment through Simultaneous Variable Coalescing.- Analysis and Profiling.- Transformation of Meta-Information by Abstract Co-interpretation.- Performance Analysis for Identification of (Sub-)Task-Level Parallelism in Java.- Towards Superinstructions for Java Interpreters.- Memory and Cache Optimizations.- Partitioning for DSP Software Synthesis.- Efficient Variable Allocation to Dual Memory Banks of DSPs.- Cache Behavior Modeling of Codes with Data-Dependent Conditionals.- FICO: A Fast Instruction Cache Optimizer.
「Nielsen BookData」 より