The technology uses predictive algorithms to identify frequently accessed data and move it between flash storage and high-speed memory in real time, reducing the amount of expensive DRAM a data center ...
I was lucky in my early career that I found two sets of great mentors. The first happened recently after graduating when I joined the Hilo development team. Members of that team included Phil Moorby, ...
Achieving optimal performance in GPU-centric workflows frequently requires customizing how host and device memory are allocated. For example, using "pinned" host memory for asynchronous host <-> ...
Abstract: Estimating per-flow cardinality from high-speed data streams has many applications such as anomaly detection and resource allocation. Yet despite tracking single flow cardinality with ...
Memory management is fundamental to the performance of all applications. On modern server architectures, an application’s memory allocator needs to balance memory utilization against the ability to ...
The National Research Council of Canada's Applied Quantum Computing (AQC) Challenge program is launching a call for proposals to support Canada's National Quantum Strategy. The call aims to enable ...
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