CRUM: Checkpoint-restart support for CUDA's unified memory
Unified Virtual Memory (UVM) was recently introduced with CUDA version 8 and the Pascal
GPU. The older CUDA programming style is akin to older large-memory UNIX applications …
GPU. The older CUDA programming style is akin to older large-memory UNIX applications …
Case: A compiler-assisted scheduling framework for multi-gpu systems
Modern computing platforms tend to deploy multiple GPUs on a single node to boost
performance. GPUs have large computing capacities and are an expensive resource …
performance. GPUs have large computing capacities and are an expensive resource …
Accelerator virtualization in fog computing: Moving from the cloud to the edge
Hardware accelerators are available on the cloud for enhanced analytics. Next-generation
clouds aim to bring enhanced analytics using accelerators closer to user devices at the edge …
clouds aim to bring enhanced analytics using accelerators closer to user devices at the edge …
Distributed configuration, authorization and management in the cloud-based internet of things
Network-based deployments within the Internet of Things increasingly rely on the cloud-
controlled federation of individual networks to configure, authorize, and manage devices …
controlled federation of individual networks to configure, authorize, and manage devices …
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach
U Saroliya, E Arima, D Liu… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
GPU-based heterogeneous architectures are now commonly used in HPC clusters. Due to
their architectural simplicity specialized for data-level parallelism, GPUs can offer much …
their architectural simplicity specialized for data-level parallelism, GPUs can offer much …
cCUDA: Effective co-scheduling of concurrent kernels on GPUs
While GPUs are meantime omnipresent for many scientific and technical computations, they
still continue to evolve as processors. An important recent feature is the ability to execute …
still continue to evolve as processors. An important recent feature is the ability to execute …
Optimizing hardware resource partitioning and job allocations on modern gpus under power caps
E Arima, M Kang, I Saba, J Weidendorfer… - … Proceedings of the …, 2022 - dl.acm.org
CPU-GPU heterogeneous systems are now commonly used in HPC (High-Performance
Computing). However, improving the utilization and energy-efficiency of such systems is still …
Computing). However, improving the utilization and energy-efficiency of such systems is still …
Qos-aware scheduling of remote rendering for interactive multimedia applications in edge computing
Leveraging emerging edge computing and 5G networks, researchers proposed to offload
the 3D rendering of interactive multimedia applications (eg, virtual reality and cloud gaming) …
the 3D rendering of interactive multimedia applications (eg, virtual reality and cloud gaming) …
Optimizing on-demand gpus in the cloud for deep learning applications training
Deep learning (DL) methods have recently gained popularity and been used in
commonplace applications; voice and face recognition, among the others. Despite the …
commonplace applications; voice and face recognition, among the others. Despite the …
A new preemptive task scheduling framework for heterogeneous embedded systems
JA Ayala-Barbosa, PE Mendez-Monroy - Proceedings of the 2022 8th …, 2022 - dl.acm.org
In recent years, the graphics processing units (GPUs) have been used to generate real-time
applications in embedded systems; due to the programmability, high performance, and low …
applications in embedded systems; due to the programmability, high performance, and low …