A high-performance implementation of Sparse Matrix-Vector Multiplication in C++ with serial, parallel (OpenMP), and GPU-accelerated (CUDA) versions, demonstrating the performance benefits of ...
According to Apple, to perform multiplication of matrices in a vector processing system, partial products are obtained by dot multiplication of vector registers containing multiple copies of elements ...
This C++ project simulates matrix multiplication with a shared vector, showcasing the principles of parallel computing and shared memory utilization. Matrix multiplication is a fundamental operation ...
Abstract: Vector multiplication is widely used in real-world applications. To accelerate vector multiplication, processing-in-memory-based domain-specific architectures leverage lookup tables (LUTs) ...
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