Results 291 to 300 of about 320,500 (329)

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

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

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

A bandwidth allocation scheme based on residual bandwidth information in mobile edge computing

Proceedings of the 2nd Workshop on Middleware for Edge Clouds & Cloudlets - MECC '17, 2017
To meet the requirements of each flow in mobile edge computing (MEC) which coexists flows with different round-trip times (RTTs) and requirements about transmission rate, we previously proposed a bandwidth allocation scheme based on collectable information and showed the effectiveness of this approach in MEC.
Yusuke Ito, Hiroyuki Koga, Katsuyoshi Iida   +2 more
openaire   +1 more source

Increasing Memory Bandwidth for Vector Computations

1993
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.
openaire   +1 more source

Computing invariants in graphs of small bandwidth

Mathematics and Computers in Simulation, 1999
Abstract Many graph invariants (chromatic number, rook polynomial, Tutte polynomial, etc.) are known to be computable for general graphs in exponential time only. Algorithms for their computation usually depend on special properties of the invariants and are not extendable to slightly different problems.
openaire   +1 more source

Fog Computing with P2P: Enhancing Fog Computing Bandwidth for IoT Scenarios

2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2019
Cloud computing is an architecture which several Internet-of-Things (IoT) devices relay on to outsource their computation tasks. The numbers and needs of IoT devices have grown massively, to which cloud computing could not fulfill these needs. Cloud computing has its shortcomings in terms of bandwidth, latency, and real-time response. To overcome these
Ahmad Rabay'a, Eduard Schleicher, Kalman Graffi   +2 more
openaire   +1 more source