Abstract: Sparse-Sparse matrix multiplication (SpMSpM) is a critical computation in various fields such as computational science and graph analysis. It poses computational challenges for ...

The deployment of Large Language Models (LLMs) on edge devices represents a paradigm shift in artificial intelligence, transitioning from cloud-centric dependence to pervasive, privacy-preserving ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Nvidia's new Blackwell chip. The building block for the "AI Factory" era. Jensen Huang has ...

Abstract: Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...

code Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning OSDI'22 paper Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning OSDI'22 ...

Presented about our project and the progress to our project advisors. Concatenated all inputs into one input in HLS; to have less wiring. Worked on an error in HLS ...

Over the past decade, Graphics Processing Units (GPUs) have revolutionized high-performance computing, playing pivotal roles in advancing fields like IoT, autonomous ...

INTEL VISION On paper, Intel's Habana Gaudi3 AI accelerators don't look like they're ready to take on Nvidia's H100 thanks to older process tech and slower HBM memory delivering fewer FLOPS. But ...