Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

The memory bandwidth requirements for today’s high-performance computing applications and next-generation networking applications have increased beyond what conventional memory architectures can ...

In the world of computing, one of the unexpected things to marvel at is the rapid adoption of artificial intelligence (AI) and cloud computing in data centers. These and other forces are driving ...

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 ...

Micron is challenging conventional computer architectures conceived decades ago with Automata, a highly parallel processor that can change its behavior to process the task at hand. The Automata ...

Parallel computing has become a bedrock in the HPC field, where applications are becoming increasingly complex and such compute-intensive technologies as data analytics, deep learning and artificial ...

MILPITAS, Calif., May 13, 2020 — MemVerge introduced what’s next for in-memory computing: Big Memory Computing. This new category is sparking a revolution in data center architecture where all ...

Enterprises pursuing digital transformation or omnichannel customer experience initiatives are increasingly deploying IoT applications that support the collection and analysis of massive amounts of ...

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...

New memory-centric chip technologies are emerging that promise to solve the bandwidth bottleneck issues in today’s systems. The idea behind these technologies is to bring the memory closer to the ...