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 …
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 …
Purely self-rectifying memristor-based passive crossbar array for artificial neural network accelerators
Memristor-integrated passive crossbar arrays (CAs) could potentially accelerate neural
network (NN) computations, but studies on these devices are limited to software-based …
network (NN) computations, but studies on these devices are limited to software-based …
Benchmarking a new paradigm: An experimental analysis of a real processing-in-memory architecture
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 …
Sparsep: Towards efficient sparse matrix vector multiplication on real processing-in-memory architectures
Several manufacturers have already started to commercialize near-bank Processing-In-
Memory (PIM) architectures, after decades of research efforts. Near-bank PIM architectures …
Memory (PIM) architectures, after decades of research efforts. Near-bank PIM architectures …
Towards efficient sparse matrix vector multiplication on real processing-in-memory architectures
Several manufacturers have already started to commercialize near-bank Processing-In-
Memory (PIM) architectures, after decades of research efforts. Near-bank PIM architectures …
Memory (PIM) architectures, after decades of research efforts. Near-bank PIM architectures …
A framework for high-throughput sequence alignment using real processing-in-memory systems
Motivation Sequence alignment is a memory bound computation whose performance in
modern systems is limited by the memory bandwidth bottleneck. Processing-in-memory …
modern systems is limited by the memory bandwidth bottleneck. Processing-in-memory …
[HTML][HTML] A Comprehensive Review of Processing-in-Memory Architectures for Deep Neural Networks
This comprehensive review explores the advancements in processing-in-memory (PIM)
techniques and chiplet-based architectures for deep neural networks (DNNs). It addresses …
techniques and chiplet-based architectures for deep neural networks (DNNs). It addresses …
Evaluating machine learningworkloads on memory-centric computing systems
Training machine learning (ML) algorithms is a computationally intensive process, which is
frequently memory-bound due to repeatedly accessing large training datasets. As a result …
frequently memory-bound due to repeatedly accessing large training datasets. As a result …
Transpimlib: Efficient transcendental functions for processing-in-memory systems
GF Oliveira, J Gómez-Luna… - … Analysis of Systems …, 2023 - ieeexplore.ieee.org
Processing-in-memory (PIM) promises to alleviate the data movement bottleneck in modern
computing systems. However, current real-world PIM systems have the inherent …
computing systems. However, current real-world PIM systems have the inherent …