As hardware designers turn toward multicore processors to improve computing power, software programmers must find new programming strategies that harness the power of parallel computing. One technique ...
This work implements a matrix multiplication system using a systolic array architecture in Verilog. The design features a 2D grid of Processing Elements (PEs) that perform multiply-accumulate ...
Solving many scientific and technical applications entails the use of matrix multiplies somewhere in the algorithm and thus the computer code. With today’s multicore CPUs, proper use of complier ...
An attempt to make a lightweight, FPGA-compatible systolic array-based matrix multiply engine inspired by Googles TPUs(Tensor Processing Units)— a simple project to get a better understanding of how ...
Multiplying the content of two x-y matrices together for screen rendering and AI processing. Matrix multiplication provides a series of fast multiply and add operations in parallel, and it is built ...
Abstract: We propose a novel sparse matrix partitioning scheme, called semi-two-dimensional (s2D), for efficient parallelization of sparse matrix-vector multiply (SpMV) operations on distributed ...
Abstract: It is well-known that the all-pairs shortest paths problem has a similar algorithmic characteristic to the classical matrix-matrix multiply-add (MMA) problem, one of the differences between ...
This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...
Parallel Universe is an Israeli technology company that promises video game companies the capability to make Matrix-style games through parallel processing, allowing millions of objects to be tracked ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback