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Because in our approach processing and memory are combined in the cores, tasks can be executed efficiently on cores locality of reference. In this paper the key characteristics of streaming DSP applications are highlighted, and the characteristics of the processing architectures to efficiently support these types of applications are addressed.
We present the initial results of the Annabelle chip that we designed with our approach. AB - In this paper we focus on algorithms and reconfigurable multi-core architectures for streaming digital signal processing DSP applications. Abstract In this paper we focus on algorithms and reconfigurable multi-core architectures for streaming digital signal processing DSP applications.
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Access provided by: anon Sign Out. Otherwise, it is referred to as an easy-to-parallel matrix operation EPMO.
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As the result, the design of higher-level algorithms for applications, for the performance considerations on multicore and distributed architectures, should avoid the use of HPMOs as the computational kernels. In this paper, as a case study, we present an HPMO-avoiding algorithm for the Green's function calculation in quantum Monte Carlo simulation.
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The original algorithm utilizes the QR-decomposition with column pivoting QRP as its computational kernel. Different implementations of the redesigned algorithm on multicore and distributed architectures are investigated.
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The broader impact of the redesign of higher-level matrix algorithms to avoid HPMOs in other computational science applications is also discussed. Article :.