A Reconfigurable “SFMD Architecture” For a Class of Signal Processing Applications

P. Sinha, A. Sinha, D. Basa
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引用次数: 2

Abstract

The fastest programmable DSP processors are unable to meet the speed requirements of many advanced signal processing applications. SlMD machines have been a preferred solution in such applications because of their inherent spatial parallelism. In such machines, a control unit (CU) broadcasts simple machine instructions simultaneously to a number of processing elements (PEs) executing the same instruction on different data The performance of such architectures can be vastly enhanced if the PEs can execute at the level of signal processing function rather than low level machine instruction. This can be made possible if the PEs are so designed that they can receive and execute functional level instruction from the CU instead of simple machine level instruction. FPGAs have emerged as high performance flexible hardware for many signal processing applications but they are not optimised for any particular application. Hence, they can not offer highest possible performance at lowest silicon cost for a given signal processing algorithm. This paper addresses these issues by introducing a new reconfigurable DSP processor, "single function multiple data (SFMD)" which eliminates the drawbacks of conventional SIMD machines and offers a balance between flexibility, reconfiguration latency and performance
可重构SFMD架构”用于一类信号处理应用
最快的可编程DSP处理器无法满足许多高级信号处理应用的速度要求。由于其固有的空间并行性,SlMD机器已成为此类应用的首选解决方案。在这样的机器中,一个控制单元(CU)将简单的机器指令同时广播给许多处理单元(pe),这些处理单元对不同的数据执行相同的指令。如果pe能够在信号处理功能层面执行,而不是在低级机器指令层面执行,那么这种体系结构的性能可以得到极大的提高。如果pe被设计成可以接收和执行来自CU的功能级指令,而不是简单的机器级指令,这是可能的。fpga已成为许多信号处理应用的高性能灵活硬件,但它们并未针对任何特定应用进行优化。因此,对于给定的信号处理算法,它们不能以最低的硅成本提供尽可能高的性能。本文通过引入一种新的可重构DSP处理器“单功能多数据(SFMD)”来解决这些问题,该处理器消除了传统SIMD机器的缺点,并在灵活性,重构延迟和性能之间提供了平衡
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