scholarly journals Behavioral network graph unifying the domains of high-level and logic synthesis

Author(s):  
R.A. Bergamaschi
Author(s):  
А. С. Семин ◽  
С. И. Вахрушев

Строительство зданий и сооружений нефтяного комплекса представляет собой сложный технологический процесс, в состав которого входит производство земляных работ. Строительная техника для производства земляных работ должна соответствовать как техническим характеристикам для выполнения поставленных задач при определенных внешних условиях, так и экономическим показателям. В статье рассматривается вопрос оптимального комплектования строительных машин при разработке котлована под вертикальный стальной резервуар (РВС). Разработана программа для поиска оптимального комплекта машин, в условиях полной определенности. Расчет основан на методе динамического программирования Дейкстры. В качестве критерия оптимизации выбраны приведенные затраты на единицу одного кубометра строительной продукции. Расчет представлен для каждого этапа производства работ. По результат расчета построен сетевой граф с выбором оптимального комплекта машин. Программа расчета выполнена на высокоуровневом языке программирования общего назначения Python. The construction of buildings and structures of the oil complex is a complex technological process, which includes the production of earthworks. Construction machinery for earthworks should comply with both the technical characteristics for the performance of tasks under certain external conditions and economic indicators. The article discusses the question of the optimal acquisition of construction vehicles during the development of a pit for a vertical steel tank (TVS). A program has been developed to search for the optimal set of machines, in conditions of complete certainty. The calculation is based on the Dijkstra dynamic programming method. As an optimization criterion, the reduced costs per unit of one cubic meter of construction products were selected. The calculation is presented for each stage of the work. Based on the calculation result, a network graph was constructed with the choice of the optimal set of machines. The calculation program is executed in a high-level general-purpose programming language Python.


2013 ◽  
Vol 22 (04) ◽  
pp. 1350025
Author(s):  
STAVROS P. DOKOUZYANNIS ◽  
ARGIRIS P. MOKIOS

This paper analyzes the design automation of embedded Systolic Array Processors (SAPs), into large scale Field Programmable Gate Array (FPGA) devices. SAPs are hardware implementations of a class of iterative, high-level language algorithms, for applications where the high-speed of processing has the principal meaning of a design. Embedding SAPs onto FPGAs is a complex process. The optimization phase in this process reduces the SAP significantly, thus less FPGA area is occupied by the embedded design, without any loss in the final performance. The present paper examines the effect of Projection Vectors (PVs) and Task Scheduling Vectors (TSVs) on the optimization process. Two optimization approaches are examined, namely technology mapping using FlowMap and Flowpack algorithms and optimization via logic synthesis using Xilinx Synthesis Tool. The multiplication of matrices, with entries being up to 32-bit integer vectors, has been taken as a sample space for the experiments conducted. The results, confirm that the selection of PV and TSV greatly affects the number of input/output signal connections of the FPGA, while the selection of an optimization approach affects the final number of logic resources occupied on the targeted device.


Author(s):  
David P. Bazett-Jones ◽  
Mark L. Brown

A multisubunit RNA polymerase enzyme is ultimately responsible for transcription initiation and elongation of RNA, but recognition of the proper start site by the enzyme is regulated by general, temporal and gene-specific trans-factors interacting at promoter and enhancer DNA sequences. To understand the molecular mechanisms which precisely regulate the transcription initiation event, it is crucial to elucidate the structure of the transcription factor/DNA complexes involved. Electron spectroscopic imaging (ESI) provides the opportunity to visualize individual DNA molecules. Enhancement of DNA contrast with ESI is accomplished by imaging with electrons that have interacted with inner shell electrons of phosphorus in the DNA backbone. Phosphorus detection at this intermediately high level of resolution (≈lnm) permits selective imaging of the DNA, to determine whether the protein factors compact, bend or wrap the DNA. Simultaneously, mass analysis and phosphorus content can be measured quantitatively, using adjacent DNA or tobacco mosaic virus (TMV) as mass and phosphorus standards. These two parameters provide stoichiometric information relating the ratios of protein:DNA content.


Author(s):  
J. S. Wall

The forte of the Scanning transmission Electron Microscope (STEM) is high resolution imaging with high contrast on thin specimens, as demonstrated by visualization of single heavy atoms. of equal importance for biology is the efficient utilization of all available signals, permitting low dose imaging of unstained single molecules such as DNA.Our work at Brookhaven has concentrated on: 1) design and construction of instruments optimized for a narrow range of biological applications and 2) use of such instruments in a very active user/collaborator program. Therefore our program is highly interactive with a strong emphasis on producing results which are interpretable with a high level of confidence.The major challenge we face at the moment is specimen preparation. The resolution of the STEM is better than 2.5 A, but measurements of resolution vs. dose level off at a resolution of 20 A at a dose of 10 el/A2 on a well-behaved biological specimen such as TMV (tobacco mosaic virus). To track down this problem we are examining all aspects of specimen preparation: purification of biological material, deposition on the thin film substrate, washing, fast freezing and freeze drying. As we attempt to improve our equipment/technique, we use image analysis of TMV internal controls included in all STEM samples as a monitor sensitive enough to detect even a few percent improvement. For delicate specimens, carbon films can be very harsh-leading to disruption of the sample. Therefore we are developing conducting polymer films as alternative substrates, as described elsewhere in these Proceedings. For specimen preparation studies, we have identified (from our user/collaborator program ) a variety of “canary” specimens, each uniquely sensitive to one particular aspect of sample preparation, so we can attempt to separate the variables involved.


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