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High-level synthesis - also called behavioral and architectural-level synthesis - is a key design technology to realize systems on chip/package of various kinds, whether single or multi-processors, homogeneousor heterogeneous,for the emb- ded systems market or not. Actually, as technology progresses and systems become increasingly complex, the use of high-level abstractions and synthesis methods becomes more and more a necessity. Indeed, the productivityof designers increases with the abstraction level, as demonstrated by practices in both the software and hardware domains. The use of high-level models allows designers with systems, rather than circuit, backgroundto be productive,thus matching the trend of industry whichisdeliveringanincreasinglylargernumberofintegratedsystemsascompared to integrated circuits. The potentials of high-level synthesis relate to leaving implementation details to the design algorithms and tools, including the ability to determine the precise timing of operations, data transfers, and storage.
High-level optimization, coupled with high-levelsynthesis, canprovidedesignerswith the optimalconcurrencystr- ture for a data ow and corresponding technological constraints, thus providing the balancing act in the trade-offbetween latency and resource usage. For complex s- tems, the design space exploration,i.e., the systematic search for the Pareto-optimal points, can only be done by automated high-level synthesis and optimization tools. Nevertheless, high-level synthesis has been showing a long gestation period. Despite early resultsin the 1980s,it is still not commonpracticein hardwaredesign.
High-level synthesis - also called behavioral and architectural-level synthesis - is a key design technology to realize systems on chip/package of various kinds, whether single or multi-processors, homogeneousor heterogeneous,for the emb- ded systems market or not. Actually, as technology progresses and systems become increasingly complex, the use of high-level abstractions and synthesis methods becomes more and more a necessity. Indeed, the productivityof designers increases with the abstraction level, as demonstrated by practices in both the software and hardware domains. The use of high-level models allows designers with systems, rather than circuit, backgroundto be productive,thus matching the trend of industry whichisdeliveringanincreasinglylargernumberofintegratedsystemsascompared to integrated circuits. The potentials of high-level synthesis relate to leaving implementation details to the design algorithms and tools, including the ability to determine the precise timing of operations, data transfers, and storage.
High-level optimization, coupled with high-levelsynthesis, canprovidedesignerswith the optimalconcurrencystr- ture for a data ow and corresponding technological constraints, thus providing the balancing act in the trade-offbetween latency and resource usage. For complex s- tems, the design space exploration,i.e., the systematic search for the Pareto-optimal points, can only be done by automated high-level synthesis and optimization tools. Nevertheless, high-level synthesis has been showing a long gestation period. Despite early resultsin the 1980s,it is still not commonpracticein hardwaredesign.
User Needs.- High-Level Synthesis: A Retrospective.- Catapult Synthesis: A Practical Introduction to Interactive C Synthesis.- Algorithmic Synthesis Using PICO.- High-Level SystemC Synthesis with Forte's Cynthesizer.- AutoPilot: A Platform-Based ESL Synthesis System.- “All-in-C” Behavioral Synthesis and Verification with CyberWorkBench.- Bluespec: A General-Purpose Approach to High-Level Synthesis Based on Parallel Atomic Transactions.- GAUT: A High-Level Synthesis Tool for DSP Applications.- User Guided High Level Synthesis.- Synthesis of DSP Algorithms from Infinite Precision Specifications.- High-Level Synthesis of Loops Using the Polyhedral Model.- Operation Scheduling: Algorithms and Applications.- Exploiting Bit-Level Design Techniques in Behavioural Synthesis.- High-Level Synthesis Algorithms for Power and Temperature Minimization.
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