Fungal networks may be a promising alternative to tiny metal devices used in processing and storing digital memories and ...
GRENOBLE, France--(BUSINESS WIRE)--UPMEM, the developer of an ultra-efficient, scalable and programmable silicon-based acceleration solution, released today the first silicon-based PIM benchmarks.
“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 ...
Nvidia hopes to take graphics processing units (GPUs) in the datacentre to the next level by addressing what it sees as a bottleneck limiting data processing in traditional architectures. In general, ...
TL;DR: South Korean memory rivals SK hynix and Samsung team up to expedite LPDDR6-PIM (Processing-In-Memory) technology for the future of on-device AI. SK hynix and Samsung are massive memory rivals ...
Existing processors in PCs, smartphones and other devices can be supercharged for enormous power and efficiency gains using a new parallel processing software framework designed to eliminate ...
Kai Ni was awarded a National Science Foundation CAREER Award to improve computing memory through the use of ferroelectric materials and capacity. The assistant professor of electrical and ...
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