OISMA is an in-memory computing design using quasi-stochastic bent-pyramid computing to convert memory reads into multiplications, demonstrated in a 4-kB RRAM array with 0.789 TOPS/W at 50 MHz in 180-nm technology and projected gains at 22-nm.
Eidetic: An in-memory matrix multiplication accelerator for neural networks,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AR 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
OISMA: On-the-fly In-memory Stochastic Multiplication Architecture for Matrix-Multiplication Workloads
OISMA is an in-memory computing design using quasi-stochastic bent-pyramid computing to convert memory reads into multiplications, demonstrated in a 4-kB RRAM array with 0.789 TOPS/W at 50 MHz in 180-nm technology and projected gains at 22-nm.