Results 21 to 30 of about 120,811,929 (257)

Should we worry about memory loss? [PDF]

, 2010
In recent years the High Performance Computing (HPC) industry has benefited from the development of higher density multi-core processors. With recent chips capable of executing up to 32 tasks in parallel, this rate of growth also shows no sign of slowing.
S. D. Hammond, Pennycook, Simon J., S. J. Pennycook, Hammond, Simon D., O. Perks, S. A. Jarvis, Perks, O. F. J., Jarvis, Stephen A.   +7 more
core   +1 more source

Distributed In-Memory Computing on Binary RRAM Crossbar

, 2017
The recently emerging resistive random-access memory (RRAM) can provide nonvolatile memory storage but also intrinsic computing for matrix-vector multiplication, which is ideal for the low-power and high-throughput data analytics accelerator performed in
Hao Yu, Huang, Hantao, Zichuan Liu, Joshi, Rajiv V., Rajiv V. Joshi, Liu, Zichuan, Hantao Huang, Ni, Leibin, Yu, Hao, Leibin Ni   +9 more
core   +1 more source

Manycore Network Interfaces for In-Memory Rack-Scale Computing [PDF]

, 2015
Datacenter operators rely on low-cost, high-density technologies to maximize throughput for data-intensive services with tight tail latencies. In-memory rack-scale computing is emerging as a promising paradigm in scale-out datacenters capitalizing on ...
Novakovic, Stanko, Grot, Boris; id_orcid, Boris Grot, Bugnion, Edouard, Grot, Boris, Daglis, Alexandros, Babak Falsafi, Stanko Novaković, Edouard Bugnion, Alexandros Daglis, Falsafi, Babak   +10 more
core   +2 more sources

Memory-Centric Computing [PDF]

, 2023
Memory-centric computing aims to enable computation capability in and near all places where data is generated and stored. As such, it can greatly reduce the large negative performance and energy impact of data access and data movement, by fundamentally ...
Mutlu, Onur
core   +1 more source

Benchmarking In-Memory Computing Architectures

IEEE Open Journal of the Solid-State Circuits Society, 2022
In-memory computing (IMC) architectures have emerged as a compelling platform to implement energy-efficient machine learning (ML) systems. However, today, the energy efficiency gains provided by IMC designs seem to be leveling off and it is not clear ...
Naresh R. Shanbhag, Saion K. Roy
doaj   +1 more source

Fast and Reconfigurable Logic Synthesis in Memristor Crossbar Array

Advanced Intelligent Systems, 2022
Memristor is a potential basic unit for the in‐memory computing system, which is an approach to break the memory wall of the traditional computer. However, low switching speed, nonuniform device characteristics, and inefficient logic synthesis hinder the
Wei Wang, Sen Liu, Qingjiang Li, Tuo Shi, Feng Zhang, Haijun Liu, Nan Li, Yongzhou Wang, Yi Sun, Bing Song, Hui Xu, Qi Liu   +11 more
doaj   +1 more source

Approximate Memristive In-memory Computing

, 2017
The bottleneck between the processing elements and memory is the biggest issue contributing to the scalability problem in computing. In-memory computation is an alternative approach that combines memory and processor in the same location, and eliminates ...
Hasan Erdem Yantir, Ahmed M. Eltawil, Fadi J. Kurdahi   +2 more
core   +1 more source

Design of a SRAM memory controller and interface for in-memory computing applications [PDF]

, 2022
Recently, neural networks have gained much attention, due to their high effectiveness. Their operation principle is based on massively parallel calculations, which possess a challenge for classical computing architectures, based on the Von Neumann ...
Mazurkiewicz, Rafał
core   +1 more source

Accelerated Data‐Driven Discovery of Dual‐Functional Ionic Liquid Passivation for FAPbI3 Perovskite Solar Cells Using Graph Neural Network

EcoMat
Achieving efficient and stable formamidinium lead iodide (FAPbI3) perovskite solar cells (PSCs) requires integrated control of crystallization kinetics and defect suppression.
Jiazheng Wang, Qiang Lou, Qingqing Zhang, Haibiao Chen, Zhengjie Xu, Hongye Liu, Hao Zhang, Xinxin Xu, Guibo Luo, Yen‐Hung Lin, Gehan Amaratunga, Hang Zhou   +11 more
doaj   +1 more source

Exercise Capacity, Physical Activity, Fatigue, and Neurocognitive Function in Adult Survivors of Childhood Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess, Gustaf Glavå, Simon Skau, Hans‐Georg Kuhn, Maria Bäck, Marianne Jarfelt   +5 more
wiley   +1 more source