vPIM: Processing-in-Memory Virtualization

D Teguia, J Chen, S Bitchebe, O Balmau… - Proceedings of the 25th …, 2024 - dl.acm.org
Data movement is the leading cause of performance degradation and energy consumption
in modern data centers. Processing inmemory (PIM) is an architecture that addresses data …

[HTML][HTML] A Parallel Compression Pipeline for Improving GPU Virtualization Data Transfers

C Peñaranda, C Reaño, F Silla - Sensors, 2024 - mdpi.com
GPUs are commonly used to accelerate the execution of applications in domains such as
deep learning. Deep learning applications are applied to an increasing variety of scenarios …

GPU Side-Channel Attack Classification for Targeted Secure Shader Mitigation

N Lungu, SS Patra, MR Mishra, BB Dash… - SN Computer …, 2024 - Springer
Graphics processing units (GPUs) provide massively parallel processing capabilities,
enabling accelerated computation across diverse applications. However, their parallel …

Метод оптимізації та система паралельної обробки даних згідно з кластерною архітектурою CUDA

ОЛ Дзюбчик - 2024 - elar.khmnu.edu.ua
Анотація Проведено дослідження використання існуючих методів послідовної і
паралельної обробки даних в різних доменних областях. Представлено моделі, що …

Analysis and research of teaching management system based on emotion detection

X Gao, W Fu, F Xu - Second International Conference on …, 2023 - spiedigitallibrary.org
With the diversification and popularization of intelligent technology, how to integrate
education into contemporary technology to get improvement in teaching always is the …