TY - GEN
T1 - Methodologies, Workloads, and Tools for Processing-in-Memory
T2 - 2022 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2022
AU - Oliveira, Geraldo F.
AU - Gomez-Luna, Juan
AU - Ghose, Saugata
AU - Mutlu, Onur
N1 - Funding Information:
We thank the SAFARI Research Group members for valuable feedback and the stimulating intellectual environment they provide. We acknowledge the generous gifts provided by our industrial partners, including ASML, Facebook, Google, Huawei, Intel, Microsoft, and VMware. We acknowledge support from the Semiconductor Research Corporation and the ETH Future Computing Laboratory.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The increasing prevalence and growing size of data in modern applications have led to high costs for computation in tra-ditional processor-centric computing systems. Moving large volumes of data between memory devices (e.g., DRAM) and computing elements (e.g., CPUs, GPUs) across bandwidth-limited memory channels can consume more than 60% of the total energy in modern systems [1], [2]. To mitigate these costs, the processing-in-memory (PIM) [1, 3-9] paradigm moves computation closer to where the data resides, reducing (and in some cases eliminating) the need to move data between memory and the processor.
AB - The increasing prevalence and growing size of data in modern applications have led to high costs for computation in tra-ditional processor-centric computing systems. Moving large volumes of data between memory devices (e.g., DRAM) and computing elements (e.g., CPUs, GPUs) across bandwidth-limited memory channels can consume more than 60% of the total energy in modern systems [1], [2]. To mitigate these costs, the processing-in-memory (PIM) [1, 3-9] paradigm moves computation closer to where the data resides, reducing (and in some cases eliminating) the need to move data between memory and the processor.
KW - frameworks
KW - memory bottlenecks
KW - memory system
KW - methodology
KW - processing in memory
UR - http://www.scopus.com/inward/record.url?scp=85140891121&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85140891121&partnerID=8YFLogxK
U2 - 10.1109/ISVLSI54635.2022.00058
DO - 10.1109/ISVLSI54635.2022.00058
M3 - Conference contribution
AN - SCOPUS:85140891121
T3 - Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI
SP - 261
EP - 266
BT - Proceedings - 2022 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2022
PB - IEEE Computer Society
Y2 - 4 July 2022 through 6 July 2022
ER -