[PDF] Top 20 A many-core overlay for high performance embedded computing on FPGAS
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A many-core overlay for high performance embedded computing on FPGAS
... One core receives the first column of A, determines the first column of L and stores it in its local ...so on, until it obtains the complete A 0 ...the core calculates each column of A 0 , it sends ... See full document
6
Portability and performance in heterogeneous many core Systems
... accesses. On the other hand, a IBM Cell is a very flexible co-processor that can offer high-end per- formance in several computing ...device computing model and the application patterns, an ... See full document
68
GASE: a high performance solver for the Generalized Nonlinear Schrödinger equation based on heterogeneous computing
... of many researchers during the last ...a high computational cost and can only be performed eciently in costly computer clusters or ...heterogeneous computing, that allows to use all the ... See full document
122
High Performance Reconfigurable Computing: From Applications to Hardware
... latest FPGAs have a variety of embedded ASIC DSP blocks ...as embedded processors and various input/output ...C-based high level ...program FPGAs in a C-like syntax with higher level ... See full document
8
Execução eficiente do padrão de propagação de ondas irregulares na arquitetura Many Integrated Core
... or computing pattern that works with irregular data structures is the Irregular Wavefront Propagation Pattern ...in Many Integrated Core (MIC) architectures, which are critical to attain high ... See full document
80
Many-Core Platforms in the Real-Time Embedded Computing Domain
... is on the performance (the average-case behaviour), hence are not suitable for the hard real-time ...based on the network calculus ...for many-cores [ 35 ...estimates on the worst-case ... See full document
251
Techniques of Medical Image Processing and Analysis accelerated by High-Performance Computing: A Systematic Literature Review
... real-time performance via a hybrid implementation using both multi-GPU and multi-core CPUs as parallel execution ...using high-performance libraries and compiled with full compiler ... See full document
54
Review on performance of High energy ignition techniques
... Ziegler and his associates [1] designed a ignition circuit that would deliver maximum efficiency of energy at breakdown phase. Thus designing a circuit that would deliver most of energy at break down phase increased the ... See full document
7
Performance Analysis of One-to-Many Data Transformations
... The throughput in OEX increases smoothly while in DBX there is sharp in- crease. This has to do with the differences in cache the replacement policies of these systems while performing table scans [Effelsberg and ... See full document
19
Virtual Machine Support for Many-Core Architectures: Decoupling Abstract from Concrete Concurrency Models
... Cell BE The Cell BE [19] is already in wide use for media systems as well as for scientific computing. One of the major characteristics of the Cell BE is its heterogeneous approach to combine a central pro- ... See full document
15
Effect of High-k Oxide on Double Gate Transistor Embedded in RF Colpitts Oscillator
... using high-k ...based on self- con- sistent codes coupling Poisson and Schrödinger equation along the transport direction, considering an ef- fective mass ...of high-k oxide gate is investigated and ... See full document
7
Implementação de modelos de mecânica dos fluidos computacional em sistemas many-core usando C+CUDA
... powerfull computing device and the Compute Unified Device Architecture (CUDA) platform is a suitable environment to develop application software that can run on ...The performance of the parallel ... See full document
110
On Distributed Embedded Systems
... in embedded-systems design and development, a similar level of maturity or commoditization, if you like, of “devices” has not yet been achieved in the ...in embedded development is using open-source ... See full document
10
Reconfigurable Custom Computing for Population-Based Optimization Metaheuristics: Accelerating Genetic Algorithms with FPGAs
... Additionally, it is also common in this architecture to use simple algorithms in the selection operation to cope with the single clock cycle requirement. Example of such al- gorithms are the random selection [SSC + 01, ... See full document
231
Design space exploration of high throughput finite field multipliers for channel coding on Xilinx FPGAs
... very high throughputs. We investigate the imple- mentation performance of these multipliers on FPGA tech- nology in the context of channel ... See full document
7
PERFORMANCE ANALYSIS OF BRAIN TUMOR DIAGNOSIS BASED ON SOFT COMPUTING TECHNIQUES
... Magnetic Resonance Imaging (MRI) has become a widely employed high quality medical imaging nowadays in the field of tumor detection. Brain tissue and tumor segmentation in MR images have become a vital area of ... See full document
8
On-line defragmentation for run-time partially reconfigurable FPGAs
... two spatial dimensions and one temporal, is addressed in [4]. The resources are shared among multiple independent functions, each having its own spatial and temporal requirements. As the resources are allocated to ... See full document
11
On-line self-healing of circuits implemented on reconfigurable FPGAs
... The problem with this approach is that if a fault affects the content of a flip-flop, the output of its module will exhibit a wrong value, which will be captured by the scan chain, triggering the reconfiguration ... See full document
7
Parallel-META 2.0: enhanced metagenomic data analysis with functional annotation, high performance computing and advanced visualization.
... based on human oral related microbial genomes from HOMD database [34], with Fusobacterium periodonticum, Veillonella dispar, Porphyromonas gingivalis, Prevotella tannerae, Veillonella ...based on randomly ... See full document
13
Session II: Linear Algebra on GPUs and FPGAs
... Abstract. The Cimmino method is a row projection method in which the original linear system is divided into subsystems. At every iteration, it computes one projection per subsystem and uses these projections to construct ... See full document
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