Articles with "cpu" as a keyword



Photo by ocollet from unsplash

Comparative Outcomes of Double-J (DJ) And Cutaneous Pyeloureteral (CPU) Stents in Pediatric Robotic-Assisted Laparoscopic Pyeloplasty.

Sign Up to like & get
recommendations!
Published in 2021 at "Journal of endourology"

DOI: 10.1089/end.2020.1115

Abstract: Background Comparative outcome studies investigating internal Double-J (DJ) and externalized stents have primarily been performed for open and laparoscopic pyeloplasty, with a paucity of literature surrounding outcomes in robotic-assisted laparoscopic pyeloplasty (RALP). Furthermore, outcomes of… read more here.

Keywords: cpu; laparoscopic pyeloplasty; robotic assisted; assisted laparoscopic ... See more keywords
Photo from wikipedia

Heterogeneous Implementation of a Voronoi Cell-Based SVP Solver

Sign Up to like & get
recommendations!
Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2939142

Abstract: This paper presents a new, heterogeneous CPU+GPU attacks against lattice-based (post-quantum) cryptosystems based on the Shortest Vector Problem (SVP), a central problem in lattice-based cryptanalysis. To the best of our knowledge, this is the first… read more here.

Keywords: voronoi cell; cpu; voronoi; cell based ... See more keywords
Photo from wikipedia

Performance Improvement of Linux CPU Scheduler Using Policy Gradient Reinforcement Learning for Android Smartphones

Sign Up to like & get
recommendations!
Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2965548

Abstract: The Energy Aware Scheduler (EAS) was developed and applied to the Linux kernel of recent Android smartphones in order to exploit the ARM big.LITTLE processing architecture efficiently. EAS organizes CPU hardware information into Energy Model… read more here.

Keywords: reinforcement learning; performance; cpu; scheduler ... See more keywords
Photo from wikipedia

A Systolic Neural CPU Processor Combining Deep Learning and General-Purpose Computing With Enhanced Data Locality and End-to-End Performance

Sign Up to like & get
recommendations!
Published in 2023 at "IEEE Journal of Solid-State Circuits"

DOI: 10.1109/jssc.2022.3214170

Abstract: While neural network (NN) accelerators are being significantly developed in recent years, CPU is still essential for data management and pre-/post-processing of accelerators in a commonly used heterogeneous architecture, which usually contains an NN accelerator… read more here.

Keywords: cpu; end end; systolic neural; processor ... See more keywords
Photo by ocollet from unsplash

ParaX : Bandwidth-Efficient Instance Assignment for DL on Multi-NUMA Many-Core CPUs

Sign Up to like & get
recommendations!
Published in 2022 at "IEEE Transactions on Computers"

DOI: 10.1109/tc.2022.3145164

Abstract: Commercial clouds now heavily use CPUs in DL (deep learning) because there are large numbers of CPUs which would otherwise sit idle during off-peak periods. Following the trend, CPU vendors have not only released high-performance… read more here.

Keywords: cpu; mml mml; mml; core cpus ... See more keywords
Photo by onurbinay from unsplash

A CPU-FPGA Heterogeneous Acceleration System for Scene Text Detection Network

Sign Up to like & get
recommendations!
Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2022.3167022

Abstract: Scene text detection network, such as Connectionist Text Proposal Network (CTPN), takes CNN-RNN hybrid neural network as the main body, which can effectively recognize the text arranged horizontally in the image. However, complex structures and… read more here.

Keywords: system; cpu; network; scene text ... See more keywords
Photo by lukaszlada from unsplash

T-Counter: Trustworthy and Efficient CPU Resource Measurement Using SGX in the Cloud

Sign Up to like & get
recommendations!
Published in 2023 at "IEEE Transactions on Dependable and Secure Computing"

DOI: 10.1109/tdsc.2022.3145814

Abstract: As cloud services have become popular, and their adoption is growing, consumers are becoming more concerned about the cost of cloud services. Cloud Service Providers (CSPs) generally use a pay-per-use billing scheme in the cloud… read more here.

Keywords: cpu; cloud services; resource; counter trustworthy ... See more keywords
Photo from wikipedia

Toward Non-CPU Activity in Low-Power MCU-Based Measurement Systems

Sign Up to like & get
recommendations!
Published in 2020 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2019.2953374

Abstract: This article evaluates the benefits of having peripheral-triggered peripherals in a microcontroller unit (MCU) intended for low-power sensor applications. In such an architecture, the functionality is moved from the central processing unit (CPU) to the… read more here.

Keywords: toward non; mcu; cpu; low power ... See more keywords
Photo from wikipedia

Full-stack Optimizing Transformer Inference on ARM Many-core CPU

Sign Up to like & get
recommendations!
Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2023.3280805

Abstract: The past several years have witnessed tremendous success of transformer models in natural language processing (NLP), and their current landscape is increasingly diverse. Although GPU gradually becomes the dominating workhorse and de facto standard for… read more here.

Keywords: transformer inference; cpu; core; arm many ... See more keywords
Photo by ocollet from unsplash

Stochastic Control of Computation Offloading to a Helper With a Dynamically Loaded CPU

Sign Up to like & get
recommendations!
Published in 2019 at "IEEE Transactions on Wireless Communications"

DOI: 10.1109/twc.2018.2890653

Abstract: Due to densification of wireless networks, there exist abundance of idling computation resources at (network) edge helpers (e.g., base stations and handheld computers). These resources can be scavenged by offloading heavy computation tasks from small… read more here.

Keywords: control; channel helper; cpu; helper dynamically ... See more keywords
Photo by ocollet from unsplash

cmFSM: a scalable CPU-MIC coordinated drug-finding tool by frequent subgraph mining

Sign Up to like & get
recommendations!
Published in 2018 at "BMC Bioinformatics"

DOI: 10.1186/s12859-018-2071-z

Abstract: BackgroundFrequent subgraphs mining is a significant problem in many practical domains. The solution of this kind of problem can particularly used in some large-scale drug molecular or biological libraries to help us find drugs or… read more here.

Keywords: cpu; mining; frequent subgraph; subgraph mining ... See more keywords