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Many scientific or engineering applications involve matrix operations, in which reduction of vectors is a common operation. If the core operator of the reduction is deeply pipelined, which is usually the case, dependencies between the input data elements cause data hazards. To tackle this problem, we propose a new reduction method with low latency and high pipeline utilization. The performance of...
Many scientific or engineering applications perform reduction of sets of sequential data streams. If the core operator of the reduction is deeply pipelined, dependencies between the input data elements cause data hazards in the pipeline. To tackle this problem, we propose a multiple set variable length reduction design with low latency and high pipeline utilization in this paper. We prove the buffer...
Many scientific applications involve reduction or accumulation operations on sequential data streams. Examples such as matrix-vector multiplication include multiple inner product operations on different data sets. If the core operator of the reduction is deeply pipelined, which is usually the case, dependencies between the input data cause data hazards in the pipeline and ask for a proper design....
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