Results 31 to 40 of about 197 (65)

I Tag, You Tag, Everybody Tags!

open access: yes, 2023
Location tags are designed to track personal belongings. Nevertheless, there has been anecdotal evidence that location tags are also misused to stalk people.
Asim, Rohail   +3 more
core  

GVEL: Fast Graph Loading in Edgelist and Compressed Sparse Row (CSR) formats

open access: yes, 2023
Efficient IO techniques are crucial in high-performance graph processing frameworks like Gunrock and Hornet, as fast graph loading is essential to minimize processing time and reduce system/cloud usage charges. This research study presents approaches for
Sahu, Subhajit
core  

CP decomposition and low-rank approximation of antisymmetric tensors

open access: yes, 2022
For the antisymmetric tensors the paper examines a low-rank approximation which is represented via only three vectors. We describe a suitable low-rank format and propose an alternating least squares structure-preserving algorithm for finding such ...
Begovic, Erna, Perisa, Lana
core  

Theoretical Analysis and Evaluation of NoCs with Weighted Round-Robin Arbitration

open access: yes, 2023
Fast and accurate performance analysis techniques are essential in early design space exploration and pre-silicon evaluations, including software eco-system development.
Abousamra, Ahmed   +5 more
core  

Enabling full-speed random access to the entire memory on the A100 GPU

open access: yes
We describe some features of the A100 memory architecture. In particular, we give a technique to reverse-engineer some hardware layout information. Using this information, we show how to avoid TLB issues to obtain full-speed random HBM access to the ...
Walker, Alden
core  

Comment on paper: Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems

open access: yes
We identify two major issues in the SoftDist paper (Xia et al.): (1) the failure to run all steps of different baselines on the same hardware environment, and (2) the use of inconsistent time measurements when comparing to other baselines.
Min, Yimeng
core  

Billion-files File Systems (BfFS): A Comparison

open access: yes
As the volume of data being produced is increasing at an exponential rate that needs to be processed quickly, it is reasonable that the data needs to be available very close to the compute devices to reduce transfer latency.
Shaikh, Sohail
core  

An Analysis of Performance Bottlenecks in MRI Pre-Processing

open access: yes
Magnetic Resonance Image (MRI) pre-processing is a critical step for neuroimaging analysis. However, the computational cost of MRI pre-processing pipelines is a major bottleneck for large cohort studies and some clinical applications.
Chatelain, Yohan   +2 more
core  

It's all about PR -- Smart Benchmarking AI Accelerators using Performance Representatives

open access: yes
Statistical models are widely used to estimate the performance of commercial off-the-shelf (COTS) AI hardware accelerators. However, training of statistical performance models often requires vast amounts of data, leading to a significant time investment ...
Bringmann, Oliver   +4 more
core  

Survival Prediction Across Diverse Cancer Types Using Neural Networks

open access: yes
Gastric cancer and Colon adenocarcinoma represent widespread and challenging malignancies with high mortality rates and complex treatment landscapes. In response to the critical need for accurate prognosis in cancer patients, the medical community has ...
Gao, Min   +4 more
core  

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