Results 51 to 60 of about 21,831,698 (267)
Area-Efficient Parallel Reconfigurable Stream Processor for Symmetric Cryptograph
IEEE Access, 2021 Represented by application-specific instruction set processors (ASIPs) and array processors, existing cryptographic processors face challenges in application to mobile terminals with sensitive security requirements.
Yufei Zhu +6 more
doaj +1 more source
OpenCL Actors - Adding Data Parallelism to Actor-based Programming with CAF
, 2017 The actor model of computation has been designed for a seamless support of concurrency and distribution. However, it remains unspecific about data parallel program flows, while available processing power of modern many core hardware such as graphics ...
A Klöckner +10 more
core +1 more source
Future InternetMassive computational resources are required by a booming number of artificial intelligence (AI) services in the communication network of the smart grid.
Jing Zou +5 more
doaj +1 more source
, 1998 Java supports threads and remote method invocation, but it does not support either data-parallel or distributed programming. This paper discusses Java’s shortcomings with respect to data-parallel programming and presents workarounds. The technical contributions of this paper are twofold: a source-to-source transformation that maps foral l statements ...
openaire +2 more sources
The VolumePro Volume Rendering Cluster: A Vital Component of Parallel End-to-End Solution [PDF]
, 2003 As data sets, both acquired from scanners and those generated from complex simulations, grow in size and complexity, researchers continue to push the boundaries of the amount of data that can be viewed, processed and analyzed interactively.
Lombeyda, Santiago, McCorquodale, John
core
Massively-Parallel Lossless Data Decompression
, 2016 Today's exponentially increasing data volumes and the high cost of storage make compression essential for the Big Data industry. Although research has concentrated on efficient compression, fast decompression is critical for analytics queries that ...
Kaldewey, Tim +4 more
core +1 more source
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 In this work we present a new approach to the field of weakly supervised learning in the video domain. Our method is relevant to sequence learning problems which can be split up into sub-problems that occur in parallel.
Oscar Koller +3 more
semanticscholar +1 more source
IEEE AccessModern embedded systems such as autonomous vehicles and robotics increasingly rely on high-performance computing to satisfy real-time and data-intensive demands.
Shanwen Wu, Qi Li, Masato Edahiro
doaj +1 more source
Exploring Various Levels of Parallelism in High-Performance CRC Algorithms
IEEE Access, 2019 Modern processors have increased the capabilities of instruction-level parallelism (ILP) and thread-level parallelism (TLP). These resources, however, typically exhibit poor utilization on conventional cyclic redundancy check (CRC) algorithms.
Mucong Chi, Dazhong He, Jun Liu
doaj +1 more source
The Potential of Synergistic Static, Dynamic and Speculative Loop Nest Optimizations for Automatic Parallelization [PDF]
, 2010 Research in automatic parallelization of loop-centric programs started with static analysis, then broadened its arsenal to include dynamic inspection-execution and speculative execution, the best results involving hybrid static-dynamic schemes.
Baghdadi, Riyadh +4 more
core +4 more sources