Spintronics for energy-efficient computing: An overview and outlook
From the discovery of giant magnetoresistance (GMR) to tunnel magnetoresistance (TMR),
their subsequent application in large capacity hard disk drives (HDDs) greatly speeded up …
their subsequent application in large capacity hard disk drives (HDDs) greatly speeded up …
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 …
Processing-in-memory: A workload-driven perspective
Many modern and emerging applications must process increasingly large volumes of data.
Unfortunately, prevalent computing paradigms are not designed to efficiently handle such …
Unfortunately, prevalent computing paradigms are not designed to efficiently handle such …
Using Chiplet Encapsulation Technology to Achieve Processing-in-Memory Functions
W Tian, B Li, Z Li, H Cui, J Shi, Y Wang, J Zhao - Micromachines, 2022 - mdpi.com
With the rapid development of 5G, artificial intelligence (AI), and high-performance
computing (HPC), there is a huge increase in the data exchanged between the processor …
computing (HPC), there is a huge increase in the data exchanged between the processor …
GenStore: A high-performance in-storage processing system for genome sequence analysis
Read mapping is a fundamental step in many genomics applications. It is used to identify
potential matches and differences between fragments (called reads) of a sequenced …
potential matches and differences between fragments (called reads) of a sequenced …
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 …
Benchmarking memory-centric computing systems: Analysis of real processing-in-memory hardware
Many modern workloads such as neural network inference and graph processing are
fundamentally memory-bound. For such workloads, data movement between memory and …
fundamentally memory-bound. For such workloads, data movement between memory and …
PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM
Commodity DRAM-based processing-using-memory (PuM) techniques that are supported
by off-the-shelf DRAM chips present an opportunity for alleviating the data movement …
by off-the-shelf DRAM chips present an opportunity for alleviating the data movement …
DRAM bender: An extensible and versatile FPGA-based infrastructure to easily test state-of-the-art DRAM chips
To understand and improve DRAM performance, reliability, security, and energy efficiency,
prior works study characteristics of commodity DRAM chips. Unfortunately, state-of-the-art …
prior works study characteristics of commodity DRAM chips. Unfortunately, state-of-the-art …