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23 results for “Offloading”
Asynchronous Workload Balancing through Persistent Work-Stealing and Offloading for a Distributed Actor Model Library
<p>With dynamic imbalances caused by both software and ever more complex hardware, applications and runtime systems must adapt to dynamic load imbalances. We present a diffusion-based, reactive, fully asynchronous, and decentralized dynamic load balancer for a distributed actor library. With the asynchronous execution model, features such as remote procedure calls, and support for serialization of arbitrary types, UPC++ is especially feasible for the implementation of the actor model. While providing a substantial speedup for small- to medium-sized jobs with both predictable and unpredictable workload imbalances, the scalability of the diffusion-based approaches remains below expectations in most presented test cases.</p> <p>Actor-UPCXX is a high-performance computing library based on the actor model to enable the use of the actor model for HPC simulations. The source code can be found at: https://github.com/TUM-I5/Actor-UPCXX</p>
Efficient GPU Offloading with OpenMP for a Hyperbolic Finite Volume Solver on Dynamically Adaptive Meshes
<p>We identify and show how to overcome an OpenMP bottleneck in the administration of GPU memory. It arises for a wave equation solver on dynamically adaptive block-structured Cartesian meshes, which keeps all CPU threads busy and allows all of them to offload sets of patches to the GPU. Our studies show that multithreaded, concurrent, non-deterministic access to the GPU leads to performance breakdowns, since the GPU memory bookkeeping as offered through OpenMP's map clause, i.e., the allocation and freeing, becomes another runtime challenge besides expensive data transfer and actual computation. We, therefore, propose to retain the memory management responsibility on the host: A caching mechanism acquires memory on the accelerator for all CPU threads, keeps hold of this memory and hands it out to the offloading threads upon demand. We show that this user-managed, CPU-based memory administration helps us to overcome the GPU memory bookkeeping bottleneck and speeds up the time-to-solution of Finite Volume kernels by more than an order of magnitude.</p>
Dataset for: Trust Assessment in 32 KiB of RAM: Multi-application Trust-based Task Offloading for Resource-constrained IoT Nodes
<p>The dataset used to generate graphs for: Matthew Bradbury, Arshad Jhumka and Tim Watson. Trust Assessment in 32 KiB of RAM: Multi-application Trust-based Task Offloading for Resource-constrained IoT Nodes. Proceedings of the Symposium on Applied Computing, ACM, 2021, 1-10.</p> <p>Also includes instructions for experiment setup.</p> <p>Scripts from https://github.com/MBradbury/iot-trust-task-alloc are required to analyse and graph these results.</p>
Offload by Stephanie Sherwood
I visited the Brand Library in Glendale, CA today and captured "Offload" (and the accompanying room) by Stephanie Sherwood. Stephanie makes these pieces all throughout the streets of LA, and she's brought her artwork to the Brand gallery. Captured with Trnio Plus using our LiDar mode. Edited in MeshMixer. Source: Objaverse 1.0 / Sketchfab
Validation of a Novel Foot Offloading Device
ClinicalTrials.gov study NCT04378270. IPD Sharing: NO. Countries: 1. Publications: 19.
Supplementary Dataset for V8s: An Edge/Cloud Deployable Kubernetes Task Offloading Framework for Smart Vehicles
<p>The supplementary dataset related to the plots in the paper "V8s: An Edge/Cloud Deployable Kubernetes Task Offloading Framework for Smart Vehicles" is published on this page. You can download the zip file with the following contents:</p> <p> </p> <p>exec-time/<br>├── edge-face-detect.csv<br>├── edge-object-recognition.csv<br>├── nano-face-detect.csv<br>├── nano-gpu-object-recognition.csv<br>├── nano-object-recognition.csv<br>├── rahti-face-detect.csv<br>├── rahti-object-recognition.csv<br>├── rahti2-face-detect.csv<br>├── rahti2-object-recognition.csv<br>├── ras-face-detect.csv<br>└── ras-object-recognition.csv<br>latency/<br>├── 5g.csv (when accessing the edge server using 5GTN connectivity)<br>├── edge.csv (when accessing the edge server using WiFi and VPN)<br>└── rahti-cloud.csv (when accessing the Rahti using WiFi)</p> <p> </p> <p> </p> <p>There are two folders in the dataset, one is for the latency information when using 5G connection and WiFi connection when using the resources. The other folder is for the execution time of the two implemented applications --- object recognition and face detection --- using the V8s framework in various execution environments.</p> <p>The file size is about 209 MiB.</p>
Efficacy of UniRelieverTM Offloading Brace in the Management of Knee Osteoarthritis
ClinicalTrials.gov study NCT05905809. IPD Sharing: NO. Countries: 1. Publications: 9.
Minimal Offloading Dressing for the Treatment of Plantar Diabetes-related Foot Ulcers
ClinicalTrials.gov study NCT06729411. IPD Sharing: NO. Countries: 1. Publications: 0.
Adapting Lifestyle Offloading for DFUs
ClinicalTrials.gov study NCT06278935. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Offloading Interventions for Diabetic Foot Problems in Upper Egypt
ClinicalTrials.gov study NCT03215953. IPD Sharing: NO. Countries: 1. Publications: 1.
Dataset for: Trust Trackers for Computation Offloading in Edge-Based IoT Networks
<p>The dataset used to generate graphs for: Matthew Bradbury, Arshad Jhumka and Tim Watson.<br> Trust Trackers for Computation Offloading in Edge-Based IoT Networks. In IEEE INFOCOM, 1–10. IEEE, 10–13 May 2021.</p> <p>Also includes instructions for experiment setup.</p> <p>Scripts from https://github.com/MBradbury/iot-trust-task-alloc are required to analyse and graph these results.</p>
Evaluation of Heel Offloading Devices for Reducing Heel Contact Pressures in Healthy Volunteers
ClinicalTrials.gov study NCT02811965. IPD Sharing: NO. Countries: 1. Publications: 0.
FLOWS-HF : Feasibility of Lymphatic Offloading with Stenting in Heart Failure
ClinicalTrials.gov study NCT06554912. IPD Sharing: NO. Countries: 0. Publications: 22.
Surgical Offloading Procedures for Diabetic Foot Ulcers
ClinicalTrials.gov study NCT03414216. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.
Novel Offloading for Diabetic Foot Ulcers With PulseFlow: A Prospective Study
ClinicalTrials.gov study NCT02783066. IPD Sharing: NO. Countries: 1. Publications: 0.
The cohesin offloading factor Wapal is required for proper polycomb-mediated gene silencing [ChIP-Seq]
GEO Series GSE63324. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Offloading Device for Post Surgical Foot Procedures
ClinicalTrials.gov study NCT03873207. IPD Sharing: NO. Countries: 1. Publications: 0.
Smart Boot Use to Measure Offloading Adherence
ClinicalTrials.gov study NCT04460573. IPD Sharing: YES. Countries: 1. Publications: 0.
Contact Cast Versus Posterior Slab as Offloading Modality for Charcot Neuroarthropathy
ClinicalTrials.gov study NCT06573554. IPD Sharing: NO. Countries: 1. Publications: 0.
Low-level Laser Therapy Versus Offloading Exercises on Foot Ulcer Healing in Patients with Type 2 Diabetes
ClinicalTrials.gov study NCT06670417. IPD Sharing: NO. Countries: 1. Publications: 0.
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