CATALOG DESCRIPTION: Parallel computer architecture and programming models. Message passing and shared memory multiprocessors. Scalability, synchronization, memory consistency, cache coherence. Memory ...

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...

Programming parallel processors isn't easy, especially when the number of processing elements is large. No single technique applies to all situations. But in its Storm-1 architecture, Stream ...

New Delhi, Aug 17 (IANS) Researchers from IIT Guwahati have developed methods to evenly distribute accesses across computer systems’ overall memory capacity to reduce the wear-out pressure on ...

The impact of memory architecture is a much researched, but little publicized element to the performance of today's network switches.Many academic papers have been written about the advantages of ...

Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.