Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...

Abstract: Many modern high-performance processors support multiple hardware threads in the form of multiple cores and SMT (Simultaneous Multi-Threading). Hence achieving good performance scalability ...

Understanding the differences between multithreading and multiprocessing is crucial for developers to make informed decisions and optimize the performance of their concurrent applications. The main ...

I have a program perfect for threading. Except at the core of the critical loop I call a Swing method. So how do I best do this? A) Surround the Swing.method() with locks. Sounds slow. B) Come up with ...

Abstract: Feasibility and efficiency of analyzing concurrent programs mostly rely on the programs' representations. So modeling concurrent programs in a proper and suitable way is very important. In ...

OpenJDK proposals would introduce value objects, primitive objects, and unify basic primitives with objects, so that all Java values will be objects. OpenJDK’s Project Valhalla, which explores ...

A recent study by Youngs and colleagues in the UK, published in the August 2021 issue of Psychological Reports, suggests a short mindfulness meditation session can boost visual short-term memory.