Persistent memory, offering non-volatility with near-DRAM speeds, has enabled the development of PM-aware data structures that skilfully balance the demands of performance, reliability, and ...

Also, the more memory a data structure uses, the less CPU time associated algorithms will need to process the data items–leading to faster algorithm results. As much as possible, you should ...

Research team proposed new data placement algorithms for scratch-pad memory (SPM) in embedded systems. Their fine-grained and ...

Large Memory Modeling paper discusses an abstract memory management model that should provide guaranteed system performance. The embedded algorithms logically work around memory allocation issues, ...

Basic Memory Model. Figure 1: The Memory Model. A typical memory model consists of memory cells connected in a two-dimensional array, and hence the memory cell performance has to be analyzed in the ...

Definition of a Data Structure & Algorithms. Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

SANTA CRUZ, Calif. — Start-up PowerEscape Inc. is releasing what it calls the first commercial tools to analyze software algorithms to reduce a system's power consumption. PowerEscape Analyzer and ...

Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.