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   Articles with "cpu" as a keyword



Design and Application of New Pyridine-Derived Chiral Ligands in Asymmetric Catalysis.

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recommendations! Published in 2024 at "Accounts of chemical research"

DOI: 10.1021/acs.accounts.3c00808

Abstract: ConspectusThe innovation of chiral ligands has been crucial for the asymmetric synthesis of functional molecules, as demonstrated by several types of widely applied "privileged" ligands. In this context, chiral pyridine-derived ligands, by far some of… read more here.

Keywords: pyridine derived; pyridine; chiral ligands; cpu ... See more keywords

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

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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

Heterogeneous Implementation of a Voronoi Cell-Based SVP Solver

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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

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

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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

SecureComm: A Secure Data Transfer Framework for Neural Network Inference on CPU-FPGA Heterogeneous Edge Devices

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recommendations! Published in 2024 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"

DOI: 10.1109/jetcas.2024.3491169

Abstract: With the increasing popularity of heterogeneous computing systems in Artificial Intelligence (AI) applications, ensuring the confidentiality and integrity of sensitive data transferred between different elements has become a critical challenge. In this paper, we propose… read more here.

Keywords: fpga heterogeneous; framework; cpu; data transfer ... See more keywords

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

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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

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

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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

MRCIM: A Many-Core Reconfigurable Computing-in-Memory Processor Combining CPU and Tensor Modes for NN Acceleration

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recommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems I: Regular Papers"

DOI: 10.1109/tcsi.2025.3593946

Abstract: Many-core architecture is a promising architecture to accelerate increasingly larger neural networks (NNs). Most many-core architectures couple a standalone CPU core and a tensor core together as a compute node. However, the existing architectures suffer… read more here.

Keywords: core; memory; many core; cpu ... See more keywords

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

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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

An Energy-Efficient CPU–FPGA Heterogeneous Acceleration System for Third-Generation Genomic Sequencing Based on Minimap2

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recommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2025.3588409

Abstract: Minimap2 has become a widely used software for third-generation long-read genomic sequencing. Due to the increasing complexity of data processing with long-read sequences, the analysis is computationally intensive and energy-consuming. This brief presents an end-to-end… read more here.

Keywords: energy; cpu; software; acceleration system ... See more keywords

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

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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