Systolic arrays are fundamental building blocks for efficient matrix multiplication and ML accelerators (e.g., Google TPU, tensor cores). A reusable, well-tested systolic array library would benefit ...
A law in effect for less than two weeks is already wreaking havoc all over the internet. The United Kingdom law—called the Online Safety Act—is purportedly about protecting children. The best I can ...
Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...
$ python src/main.py -h usage: Python Systolic Array Verilog Compiler [-h] [-o OUTPUT_PATH] [-r ROWS] [-c COLS] [-d DATA_WIDTH] [-t ACCUMULATE_INTERVAL_WIDTH] [-f ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
State-of-the-art antenna design and optimization (D/O) is increasingly being done using Global Search and Optimization (GSO) algorithms such as Ant Colony Optimization (ACO), Particle Swarm ...
A new technical paper titled “Energy-/Carbon-Aware Evaluation and Optimization of 3D IC Architecture with Digital Compute-in-Memory Designs” was published by researchers at Cornell University. “In ...
Abstract: Depthwise convolution (DWConv) is an effective technique for reducing the size and computational requirements of convolutional neural networks. However, DWConv’s input reuse pattern is not ...
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