Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...
“Many modern workloads such as neural network inference and graph processing are fundamentally memory-bound. For such workloads, data movement between memory and CPU cores imposes a significant ...
GridGain Systems, provider of enterprise-grade in-memory computing platform solutions based on Apache® Ignite™, today announced GridGain 8.1. The solution expands the bounds of in-memory computing ...
System-on-chip (SoC) developments are under demand from two sides. Market pressures such as increasing features, decreasing time-to-market and prices, and narrowing windows are combined with ...
GPU-class performance – The Gemini-I APU delivered comparable throughput to NVIDIA’s A6000 GPU on RAG workloads. Massive energy advantage – The APU delivers over 98% lower energy consumption than a ...
HAMBURG, Germany, May 23, 2023 /PRNewswire/ -- MemVerge®, a leading innovator in Big Memory Software, is proud to announce the groundbreaking launch of Project Gismo (Global IO-free Shared Memory ...
Alluxio (formerly known as Tachyon), the first virtual distributed storage for Big Data, announced its open source version 1.0 release and shared its vision for how Alluxio aims to become the storage ...
When the memory industry can no longer leverage Moore's Law to create new value, it has to find new technologies to establish a new business model that can create new economic value. To have a good ...
When full composability is achieved, data centers will be defined by the needs of applications. This will require simple, open, standards-based, and scalable solutions. The intriguing concept of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback