A survey on optimization techniques for edge artificial intelligence (ai)
Artificial Intelligence (Al) models are being produced and used to solve a variety of current
and future business and technical problems. Therefore, AI model engineering processes …
and future business and technical problems. Therefore, AI model engineering processes …
A modern primer on processing in memory
Modern computing systems are overwhelmingly designed to move data to computation. This
design choice goes directly against at least three key trends in computing that cause …
design choice goes directly against at least three key trends in computing that cause …
Ambit: In-memory accelerator for bulk bitwise operations using commodity DRAM technology
Many important applications trigger bulk bitwise operations, ie, bitwise operations on large
bit vectors. In fact, recent works design techniques that exploit fast bulk bitwise operations to …
bit vectors. In fact, recent works design techniques that exploit fast bulk bitwise operations to …
Benchmarking a new paradigm: Experimental analysis and characterization of a real processing-in-memory system
Many modern workloads, such as neural networks, databases, and graph processing, are
fundamentally memory-bound. For such workloads, the data movement between main …
fundamentally memory-bound. For such workloads, the data movement between main …
Large language model inference acceleration: A comprehensive hardware perspective
J Li, J Xu, S Huang, Y Chen, W Li, J Liu, Y Lian… - ar** bits in memory without accessing them: An experimental study of DRAM disturbance errors
Memory isolation is a key property of a reliable and secure computing system--an access to
one memory address should not have unintended side effects on data stored in other …
one memory address should not have unintended side effects on data stored in other …