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   Articles with "cpus" as a keyword



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Innovation Through Collaboration: Creation of a Combined Emergency and Internal Medicine Point‐of‐Care Ultrasound Fellowship

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recommendations! Published in 2018 at "Journal of Ultrasound in Medicine"

DOI: 10.1002/jum.14908

Abstract: F or more than 2 decades, clinician-performed ultrasound (CPUS) examinations have been a required component of emergency medicine (EM) residency training programs. Due to the need for leaders in the field to develop advanced techniques,… read more here.

Keywords: medicine; internal medicine; point care; emergency ... See more keywords

Task Mapping and Scheduling With Uneven Data Partition on Homogeneous and Single-ISA Heterogeneous CPUs in Model-Based Parallelization

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3585556

Abstract: Integrated systems comprise diverse tasks, including real-time control and image processing, which must be efficiently executed on embedded system-on-chips with high performance and low power consumption. Multi-core and heterogeneous central processing unit (CPU) architectures, such… read more here.

Keywords: task; cpus; model based; task mapping ... See more keywords

Parallelization Strategies for DLRM Embedding Bag Operator on AMD CPUs

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recommendations! Published in 2024 at "IEEE Micro"

DOI: 10.1109/mm.2024.3423785

Abstract: Deep learning recommendation models (DLRMs) are deployed extensively to support personalized recommendations and consume a large fraction of artificial intelligence (AI) cycles in modern datacenters with embedding stage being a critical component. Modern CPUs execute… read more here.

Keywords: embedding bag; cpus; parallelization strategies; strategies dlrm ... See more keywords

Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning

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recommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2022.3146257

Abstract: We present FastConv, a template-based code auto-generation open source library that can automatically generate high-performance deep learning convolution kernels of arbitrary matrices/tensors shapes. FastConv is based on the Winograd algorithm, which is reportedly the highest… read more here.

Keywords: convolution kernels; cpus; deep learning; high performance ... See more keywords

Exploring Fine-Grained In-Memory Database Performance for Modern CPUs

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recommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2023.3262782

Abstract: Modern CPUs keep integrating more cores and large size cache, which is beneficial for in-memory databases to improve parallel processing power and cache locality. While state-of-the-art CPUs have diverse architectures and roadmaps such as large… read more here.

Keywords: x86; cpus; memory; size ... See more keywords

Performance Study of an MRI Motion-Compensated Reconstruction Program on Intel CPUs, AMD EPYC CPUs, and NVIDIA GPUs

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recommendations! Published in 2024 at "Applied Sciences"

DOI: 10.3390/app14219663

Abstract: Motion-compensated image reconstruction enables new clinical applications of Magnetic Resonance Imaging (MRI), but it relies on computationally intensive algorithms. This study focuses on the Generalized Reconstruction by Inversion of Coupled Systems (GRICS) program, applied to… read more here.

Keywords: cpus; amd epyc; reconstruction; performance study ... See more keywords