SIMD (Single Instruction, Multiple Data): A parallel computing architecture where the same instruction is applied to multiple data elements concurrently.

Prof. Peng Xie remarked: “We demonstrated parallel optical computing system capable of 100-wavelength multiplexing, paving a new path to scaling up optical computility. This is like turning a ...

Caltech professor of chemistry Sandeep Sharma and colleagues from IBM and the RIKEN Center for Computational Science in Japan ...

A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...

A new technical paper titled “Exploring optimal TMDC multi-channel GAA-FET architectures at sub-1nm nodes” was published by ...

We present new methods for load balancing of unstructured tree computations on large-scale SIMD machines, and analyze the scalability of these and other existing schemes. An efficient formulation of ...

However, deploying CNN models onto these computational image sensors faces challenges from the limited on-chip memory resources and insufficient image processing throughput. This work proposes a ...

The development path of parallel acceleration of high-performance computing is similar. Taking Huawei as an example, first there is Ascend NPU hardware, then there is C language encapsulation ccec ...

C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON for ARM ...