Results 321 to 330 of about 3,719,507 (369)

Increasing memory bandwidth for vector computations

1994
Memory bandwidth is rapidly becoming the performance bottleneck in the application of high performance micro- processors to vector-like algorithms, including the "Grand Challenge" scientific problems. Caching is not the sole solution for these applications due to the poor temporal and spatial locality of their data accesses.
Sally A. McKee, Steven A. Moyer, Wm. A. Wulf, Charles Hitchcock   +3 more
openaire   +1 more source

Bandwidth efficient parallel computation

1996
We believe that for the next few years, the most pressing research question in parallel computation will concern communication bandwidth: Can we design fast algorithms for parallel computers that only support low bandwidth communication (such as most existing parallel computers).
openaire   +1 more source

Bandwidth sensitive content transformation in pervasive computing

Proceedings ISCC 2000. Fifth IEEE Symposium on Computers and Communications, 2002
In pervasive Internet access, the quality of presentation often needs to be adjusted according to the instantaneous network bandwidth and the hardware capability of the user's device. Current Web transformation mechanisms, being unable to adapt dynamically to the available network bandwidth and data requirement, result in uniform loss of quality, and ...
Hung, Chi Chi, Hong, Lim Yan
openaire   +1 more source

Optical Computations for Image Bandwidth Compression.

1982
Abstract : This report summarizes the previous year's research in optical processing and optical/digital processing methods for image data compression. The following topics are discussed: (1) Radiometric and spatial transformations to achieve adaptive image data compression; (2) Spatial optical subsampling and spectral/spatial reconstruction for image ...
R. Schowengerdt, B. R. Hunt
openaire   +1 more source

Partial coherence enhances parallelized photonic computing

Nature
Advancements in optical coherence control1–5 have unlocked many cutting-edge applications, including long-haul communication, light detection and ranging (LiDAR) and optical coherence tomography6–8.
Bowei Dong, Frank Brückerhoff-Plückelmann, Lennart Meyer, Jelle Dijkstra, I. Bente, Daniel Wendland, Akhil Varri, Samarth Aggarwal, N. Farmakidis, Mengyun Wang, Guoce Yang, J. Lee, Yuhan He, Emmanuel Gooskens, Dim-Lee Kwong, Peter Bienstman, W. Pernice, H. Bhaskaran   +17 more
semanticscholar   +1 more source

Bounds on Memory Bandwidth in Streamed Computations

1995
The growing disparity between processor and memory speeds has caused memory bandwidth to become the performance bottleneck for many applications. In particular, this performance gap severely impacts stream-orientated computations such as (de)compression, encryption, text searching, and scientific (vector) processing.
Sally A. McKee, Wm. A. Wulf, Trevor C. Landon   +2 more
openaire   +2 more sources

Task offloading strategies for mobile edge computing: A survey

Comput. Networks
With the wide adoption of 5G technology and the rapid development of 6G technology, a variety of new applications have emerged. A multitude of compute-intensive and time-sensitive applications deployed on terminal equipment have placed increased demands ...
Shi Dong, Jun Tang, Khushnood Abbas, Ruizhe Hou, J. Kamruzzaman, Leszek Rutkowski, R. Buyya   +6 more
semanticscholar   +1 more source

Joint bandwidth allocation and task offloading in multi-access edge computing

Expert systems with applications, 2023
Shudian Song, Shuyue Ma, X. Zhu, Yumei Li, Fenglai Yang, Linbo Zhai   +5 more
semanticscholar   +1 more source

Data-dependent bandwidth selection for emission computed tomography reconstruction

IEEE Transactions on Medical Imaging, 1993
At present, the choice of bandwidth in emission computed tomography (ECT) reconstruction is done by subjective means. The authors develop an automated objective selection technique for linear reconstruction algorithms such as filtered backprojection. The approach is based on the method of unbiased risk estimation.
Y, Pawitan, F, O'Sullivan
openaire   +2 more sources

Computing and Communication Cost-Aware Service Migration Enabled by Transfer Reinforcement Learning for Dynamic Vehicular Edge Computing Networks

IEEE Transactions on Mobile Computing
Due to the high mobility of vehicles, service migration is inevitable in vehicular edge computing (VEC) networks. Frequent service migrations incur prohibitive migration cost including the computing cost (e.g., increased computing delay) and ...
Yan Peng, Xiaogang Tang, Yiqing Zhou, Jintao Li, Yanli Qi, Ling Liu, Hai Lin   +6 more
semanticscholar   +1 more source