[PDF] Top 20 Many-Task Computing on Many-Core Architectures
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Many-Task Computing on Many-Core Architectures
... on many-core, other authors [23, 25] have studied the efficiency of this new ...Batched task, maybe the first MTC approach on GPUs, allows us to run several independent kernels over the same GPU ... See full document
14
Initial condition for efficient mapping of level set algorithms on many core architectures
... to many-core ...the computing-unified device architecture (CUDA) of NVIDIA (NVIDIA Corporation, Santa Clara, CA, ...different many-core ...or many core, parallel ... See full document
11
Fast Parallel Set Similarity Joins on Many-core Architectures
... a core operation for text data integration, cleaning, and ...exploit task parallelism in addition to data ...[Processor Architectures]: Mul- tiple Data Stream Architectures ... See full document
16
Feedback-based admission control for hard real-time task allocation under dynamic workload on many-core systems
... sporadic task models and it is rather difficult to find a many-core system scheduling analy- sis that relies on more sophisticated models [5, ...formance Computing (HPC) domain, for example in ... See full document
13
Adaptive Optimization of Sparse Matrix Vector Multiplication on Emerging Many Core Architectures
... There have also been studies on optimizing SpMV ded- icated for SIMT GPUs [1, 11, 20, 21]. Wai Teng Tang et al. introduce a series of bit-representation-optimized compression schemes for representing sparse matrices on ... See full document
10
Integrated Wireless Multi-Core Engineering Wireless Sensor Networks and Applications
... pervasive computing, are presently being used on a large scale to monitor real-time environmental ...challenging task and involves assessing a number of different parameters required by the target ... See full document
6
A Survey of System Level Power Management Schemes in the Dark-Silicon Era for Many-Core Architectures
... application task with properties such as reliability and execution ...execution task of the system is violated after adjusting the V/F, another version of the task which meets the deadline but with a ... See full document
17
Exploiting the Systematic Optimization Techniques for the present Heterogeneous Multi-core and Many-core Computing Systems
... heterogeneous computing refers to specific systems that are incorporated with more than one type of ...multi- core or many core systems in which the performance boost is achieved by ... See full document
6
Benchmarking of HPC Application on Many Core Architecture
... computer architectures make robust demands than ever on writers of scientific ...of computing. Earlier, High Performance Computing essentially focused on a single box large scale ...of ... See full document
8
On the acceleration of wavefront applications using distributed many core architectures
... petascale computing in 2008, with the IBM RoadRunner supercomputer, represented a departure from the large-scale use of commodity processors to hybrid designs employing heterogeneous computational ... See full document
16
Similarity Learning in Many Core Architecture
... lel computing helps in performing large computations by typically breaking down a computational task into very similar sub-tasks that can be processed independently, and assigning these tasks to more than ... See full document
5
Artificial bee colony-inspired run-time task management for many-core systems
... performance computing. Large-scale computing systems that contain hundreds, thousands or even millions of cores demand solutions that can operate in a distributed, robust, and scalable ...of ... See full document
9
Large scale hierarchical k means for heterogeneous many core supercomputers
... SW26010 many-core ...four core groups (CGs). There are 65 cores in each CG, 64 computing processing element (CPEs) and a managing processing element (MPE), which are organized as 8 by 8 ... See full document
11
On the acceleration of wavefront applications using distributed many-core architectures
... GPU-based architectures to accelerate pipelined wavefront ap- plications – a ubiquitous class of parallel algorithm used for the solution of a number of scientific and engineering ...high-performance ... See full document
16
Learning based dynamic pinning of parallelized applications in many core systems
... In our previous work [5], [6], we have proposed a reinforcement-learning-based distributed scheduling frame- work (PaRLSched), adapted to Uniform Memory Architec- tures (UMA). In this paper, our goal is to provide a ... See full document
8
Architectural Support and Compiler Optimization for Many-Core Architectures.
... Many-core architectures have been exploited to reach teraflops computation capability in a single ...Open Computing Language (OpenCL), are ...of many-core processes, identify the ... See full document
140
An evaluation of the Adapteva Epiphany Many Core Architecture
... processing core will decrease if the on-chip core count is ...larger core-count processors will feature more off-chip links, but for now both the E16G301 and G4 feature only four ... See full document
82
Needs of the many
... 6 core clinical disciplines as in traditional clerkship ...their core clinical medicine from the family practice and community perspective, while also gaining exposure to community-based specialist ... See full document
7
Market-inspired Dynamic Resource Allocation in Many-core High Performance Computing Systems
... The notion of values of the jobs has led to the investigation of several market-inspired or value-based heuristics for various computing platforms such as clusters, distributed databases, grids, etc. [7], [8]. ... See full document
9
An Efficient Many-Core Architecture for Elliptic Curve Cryptography Security Assessment
... pipelined many-core architecture implementing the parallel version of Pollard rho for elliptic curves over generic prime fields using the negation map speed-up and fruitless cycle handling ... See full document
18
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