“Several manufacturers have already started to commercialize near-bank Processing-In-Memory (PIM) architectures. Near-bank PIM architectures place simple cores close to DRAM banks and can yield ...

Sparse matrix computations are pivotal to advancing high-performance scientific applications, particularly as modern numerical simulations and data analyses demand efficient management of large, ...

A novel AI-acceleration paper presents a method to optimize sparse matrix multiplication for machine learning models, particularly focusing on structured sparsity. Structured sparsity involves a ...

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 ...

Driven by ever more complex algorithms and more and more channels for the processor to handle, the need for more digital signal processing speed is escalating rapidly. Conventional DSPs are pushing ...

Hsinchu, Taiwan, Oct. 21, 2024 (GLOBE NEWSWIRE) -- Andes Technology, a leading supplier of high efficiency, low-power 32/64-bit RISC-V processor cores and Founding Premier member of RISC-V ...

Hsinchu, Taiwan – Oct 21, 2024 – Andes Technology, a leading supplier of high efficiency, low-power 32/64-bit RISC-V processor cores and Founding Premier member of RISC-V International, today ...