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With the continuing growth in the amount of genetic data, members of the bioinformatics community are developing a variety of data-mining applications to understand the data and discover meaningful information. These applications are important in defining the design and performance decisions of future high performance microprocessors. This paper presents a(More)
Tarantula is an aggressive floating point machine targeted at technical, scientific and bioinformatics workloads, originally planned as a follow-on candidate to the EV8 processor [6, 5]. Tarantula adds to the EV8 core a vector unit capable of 32 double-precision flops per cycle. The vector unit fetches data directly from a 16 MByte second level cache with a(More)
Centralized monolithic processor designs, such as single core and shared bus structures, are not scaling, leading to multicore designs becoming the norm [1-3]. Research highlights the benefits of mesh networks connecting these cores. [4,5]. The TILE64™ processor [6] is a multicore SoC targeting the high-performance demands of a wide range of embedded(More)
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