5 Result(s)
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Chapter and Conference Paper
Analysis of Precision Vectors for Ising-Based Linear Regression
Quantum computing has been much attention as one of the new computational principles. In particular, annealing machines that use the Ising model of statistical mechanics are emerging and feasible next-generati...
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Chapter and Conference Paper
A Partitioned Memory Architecture with Prefetching for Efficient Video Encoders
A hardware video encoder based on recent video coding standards such as HEVC and VVC needs to efficiently handle a massive number of memory accesses to search motion vectors. To this end, first, this paper pre...
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Chapter and Conference Paper
A Dynamic Parameter Tuning Method for High Performance SpMM
Sparse matrix-matrix multiplication (SpMM) is a basic kernel that is used by many algorithms. Several researches focus on various optimizations for SpMM parallel execution. However, a division of a task for pa...
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Chapter and Conference Paper
Optimization of the Himeno Benchmark for SX-Aurora TSUBASA
This paper focuses on optimizing the Himeno benchmark for the vector computing system SX-Aurora TSUBASA and analyzes its performance in detail. The Vector Engine (VE) of SX-Aurora TSUBASA achieves a high memor...
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Chapter and Conference Paper
Develo** an Efficient Vector-Friendly Implementation of the Breadth-First Search Algorithm for NEC SX-Aurora TSUBASA
Breadth-First Search (BFS) is an important computational kernel used as a building-block for many other graph algorithms. Different algorithms and implementation approaches aimed to solve the BFS problem have ...
