Comprehensive complexity assessment of emerging learned image compression on cpu and gpu
F Pakdaman, M Gabbouj - ICASSP 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Learned Compression (LC) is the emerging technology for compressing image and video
content, using deep neural networks. Despite being new, LC methods have already gained …
content, using deep neural networks. Despite being new, LC methods have already gained …
DCNetBench: Scaleable Data Center Network Benchmarking
Data center networking is the central infrastructure of the modern information society.
However, benchmarking them is very challenging as the real-world network traffic is difficult …
However, benchmarking them is very challenging as the real-world network traffic is difficult …
Model-Free GPU Online Energy Optimization
GPUs play a central and indispensable role as accelerators in modern high-performance
computing (HPC) platforms, enabling a wide range of tasks to be performed efficiently …
computing (HPC) platforms, enabling a wide range of tasks to be performed efficiently …
A Production Suite for Failure Detectors
Designing a failure detection algorithm, implementing it, and assessing its performance is
extremely complex. The behavior of a failure detector (FD) implementation varies with the …
extremely complex. The behavior of a failure detector (FD) implementation varies with the …
3PEIC: Computing Power Evaluation Framework for Distributed Heterogeneous Intelligent Computing Systems
C Han, Z Li, Z Li - 2023 IEEE Smart World Congress (SWC), 2023 - ieeexplore.ieee.org
Computing Power Network (CPN) plays an important role as an infrastructure in various
application fields. The evaluation of computing power in distributed heterogeneous …
application fields. The evaluation of computing power in distributed heterogeneous …