Performance improvements from DRAM technology scaling have been lagging behind the improvements from logic technology scaling for many years. As application demand for main …
S Lee, S Kang, J Lee, H Kim, E Lee… - 2021 ACM/IEEE 48th …, 2021 - ieeexplore.ieee.org
Emerging applications such as deep neural network demand high off-chip memory bandwidth. However, under stringent physical constraints of chip packages and system …
The computing domain of today's computer systems is moving very fast from arithmetic to data processing as data volumes grow exponentially. As a result, 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 …
X Xin, Y Zhang, J Yang - Proceedings of the 56th Annual Design …, 2019 - dl.acm.org
DRAM based memory-centric computing architectures are promising solutions to tackle the challenges of memory wall. In this paper, we develop a novel design of DRAM-based …
Modern computing systems suffer from the dichotomy between computation on one side, which is performed only in the processor (and accelerators), and data storage/movement on …
D Lee - arXiv preprint arXiv:1604.08041, 2016 - arxiv.org
In modern systems, DRAM-based main memory is significantly slower than the processor. Consequently, processors spend a long time waiting to access data from main memory …
Today's systems are overwhelmingly designed to move data to computation. This design choice goes directly against at least three key trends in systems that cause performance …
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 …