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The technique bridges the gap between the high level custom instruction extension and chip fabrication in nanotechnologies.
Different processor configurations according to the application requirements are generated using tools like Xtensa Processor Generator and Tensilica Instruction Extension.
This chapter describes the Tensilica instruction extension (TIE) language and its utility in creating application-specific instruction extensions for the Xtensa microprocessor core.
Very long instruction word (VLIW) processors increase application performance by taking advantage of instruction-level parallelism, which can be achieved in the TIE language by using flexible length instruction extension (FLIX) technology.
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This work presents a detailed case study in customizing a configurable, extensible, 32-bit RISC processor with vector/SIMD instruction extensions for the efficient execution of block-based video-coding algorithms utilizing a proprietary co-design environment.
It is therefore useful to reduce the design space of these instruction extensions to widely accepted tools supported instruction formats in order to capitalize on the existing resources.
It allows the instantiation of tightly-coupled streaming accelerators and supports up to 7-address Multiple-Input, Multiple-Output instruction extensions.
The TIE compiler reads the description of the instruction extensions defined by the designer and generates both the hardware implementation and software tools for the new customized processor.
Tutorials, mailing lists, download and set-up instructions, extension modules and other documentation can be found at the Tripal website located at http://tripal.info.info
We present a high-performance N-body code for self-gravitating collisional systems accelerated with the aid of a new SIMD instruction set extension of the x86 architecture: Advanced Vector eXtensions (AVX), an enhanced version of the Streaming SIMD Extensions (SSE).
We have developed a numerical software library for collisionless N-body simulations named "Phantom-GRAPE" which highly accelerates force calculations among particles by use of a new SIMD instruction set extension to the x86 architecture, Advanced Vector eXtensions (AVX), an enhanced version of the Streaming SIMD Extensions (SSE).
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