Abstract: The multi-level storage architecture has been widely adopted in servers and data centers. However, while prefetching has been shown as a crucial technique to exploit the sequentiality in ...

Pretraining cost: $50M - $100M+ per frontier model Hardware requirements: 10,000+ GPUs Engineering teams: 50-200+ specialized researchers Data: Proprietary datasets, extensive legal/licensing This ...

Senior Android Developer specializing in architecture, SDK development, and modern Android design. Building high-impact mobile solutions with 10M+ MAU experience. When our team made the jump to ...

This repository is an educational yet hardcore exploration of FlashAttention built from scratch using OpenAI's Triton. It documents the architectural evolution from a naive block-wise implementation ...

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

Apple last week quietly posted a workaround for a vulnerability in its M-series processors that attackers could exploit to steal cryptographic keys. More details have now come to light as a ...

Abstract: Instruction prefetching is instrumental for guaranteeing a high flow of instructions through the processor front end for applications whose working set does not fit in the lower-level caches ...

AI large model training and inference are increasingly confronted with the challenges of memory wall and IO transmission wall, that is, the growth of GPU memory capacity and IO bandwidth cannot keep ...