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RRAM-based analog computing system rapidly solves matrix equations with high precision

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...
IEEE

Performance Analysis of the Parallel Shared-Memory Sparse Matrix-Vector Multiplication on Unstructured Matrices

Abstract: This paper investigates sparse matrix-vector (SpMV) multiplication algorithm performance for unstructured sparse matrices. The development of an SpMV multiplication algorithm for this type ...
IEEE

Conflict-Free Symmetric Sparse Matrix-Vector Multiplication on Multicore Architectures

Abstract: Exploiting the numeric symmetry in sparse matrices to reduce their memory footprint is very tempting for optimizing the memory-bound Sparse Matrix-Vector Multiplication (SpMV) kernel.
GitHub

Suboptimal decompilation of partial loads of flags words

A common pattern is to load an integer and then AND with a constant to test a particular flag, e.g. foo->bar & SOME_FLAG. Suppose that bar is 32-bit, and SOME_FLAG is 0x200. Clang has an optimization ...