Compression of Barotropic Turbulence Simulation Data Using Wavelet-Based Lossy Coding

Author(s):  
John P. Wilson

Single-precision floating point data from a simulation of barotropic turbulence is compressed with a wavelet-based method. The quantity being compressed is vorticity. The compression error is evaluated both in terms of error in the vorticity and the error in various quantities derived from the vorticity. Numerical error is evaluated in all quantities and visualizations of the vorticity and correlation of the error with the uncompressed data are evaluated. It is found that depending on the quantities of interest and the evaluation criteria, compression ratios of 4:1 to 256:1 are achievable. Under a conservative definition of acceptable error, it is possible to recover quantities of interest from data compressed 4:1 (8bpp), the data rate that in existing practice is used for visualization.

2016 ◽  
Author(s):  
Charles S. Zender

Abstract. Lossy compression schemes can help reduce the space required to store the false precision (i.e, scientifically meaningless data bits) that geoscientific models and measurements generate. We introduce, implement, and characterize a new lossy compression scheme suitable for IEEE floating-point data. Our new Bit Grooming algorithm alternately shaves (to zero) and sets (to one) the least significant bits of consecutive values to preserve a desired precision. This is a symmetric, two-sided variant of an algorithm sometimes called Bit Shaving which quantizes values solely by zeroing bits. Our variation eliminates the artificial low-bias produced by always zeroing bits, and makes Bit Grooming more suitable for arrays and multi-dimensional fields whose mean statistics are important. Bit Grooming relies on standard lossless compression schemes to achieve the actual reduction in storage space, so we tested Bit Grooming by applying the DEFLATE compression algorithm to bit-groomed and full-precision climate data stored in netCDF3, netCDF4, HDF4, and HDF5 formats. Bit Grooming reduces the storage space required by uncompressed and compressed climate data by up to 50 % and 20 %, respectively, for single-precision data (the most common case for climate data). When used aggressively (i.e., preserving only 1–3 decimal digits of precision), Bit Grooming produces storage reductions comparable to other quantization techniques such as linear packing. Unlike linear packing, Bit Grooming works on the full representable range of floating-point data. Bit Grooming reduces the volume of single-precision compressed data by roughly 10 % per decimal digit quantized (or "groomed") after the third such digit, up to a maximum reduction of about 50 %. The potential reduction is greater for double-precision datasets. Data quantization by Bit Grooming is irreversible (i.e., lossy) yet transparent, meaning that no extra processing is required by data users/readers. Hence Bit Grooming can easily reduce data storage volume without sacrificing scientific precision or imposing extra burdens on users.


2019 ◽  
Vol 8 (2S11) ◽  
pp. 2990-2993

Duplication of the coasting element numbers is the big activity in automated signal handling. So the exhibition of drifting problem multipliers count on a primary undertaking in any computerized plan. Coasting factor numbers are spoken to utilizing IEEE 754 modern day in single precision(32-bits), Double precision(sixty four-bits) and Quadruple precision(128-bits) organizations. Augmentation of those coasting component numbers can be completed via using Vedic generation. Vedic arithmetic encompass sixteen wonderful calculations or Sutras. Urdhva Triyagbhyam Sutra is most usually applied for growth of twofold numbers. This paper indicates the compare of tough work finished via exceptional specialists in the direction of the plan of IEEE 754 ultra-modern-day unmarried accuracy skimming thing multiplier the usage of Vedic technological statistics.


Author(s):  
Diêgo Andrade de Oliveira ◽  
Rosângela Souza Lessa ◽  
Suzana Cristina Silva Ribeiro ◽  
Pedro Fonseca de Vasconcelos

Abstract: Introduction: In the context of medical school, the development of methodologies that stimulate the students’ search for learning, autonomy and creativity are essential for medical education in Brazil. The study aims to describe the construction of infographics as a pedagogical proposal for the learning of organic human aging processes by medical students. Method: Medical students attending the 4th period at a Higher Education Institution built infographics, as a requirement for the practical content of the Aging Process module. The static-type infographic was adopted, following criteria such as the definition of the target audience; definition of the objective; choice of topic; selection of the most relevant information (focus); direct and accessible language; organized information; choices of color palettes and style and; infographic sketch. The entire creation process was supervised by the teacher in charge of the project, and evaluation criteria were previously established. Results: The class was divided into seven groups, resulting in the production of an infographic with a specific topic per group. The human aging topics were: Degenerative Joint Diseases, Bone Weakness, Pneumonia in the Elderly, Acute Myocardial Infarction, Vascular Dementia, Atherosclerosis and Herpes Zoster. It is worth noting that in addition to the creation, each group presented the final product to the other colleagues, explaining each item included in the static infographic. Conclusions: We observed that the students satisfactorily met the proposed evaluation requirements, demonstrating their involvement in the construction of infographics and, above all, in simple, creative and objective learning, using a powerful visual tool. We also add that the printed material will be used as aid in the histology laboratory and in extramural activities.


2020 ◽  
Author(s):  
Taisiya Voronkova ◽  
◽  
Anastasiia Vovkodav ◽  

A market economy requires flexibility in the operation of industrial enterprises, prompt adjustment of the nature and directions of production processes. That is why, in modern business conditions, the importance of not only ensuring the efficiency of economic entities, but also the formation of their potential and prospects for further development. It is proved that some modern industrial enterprises are characterized by the inability to really assess the production potential, incomplete use of available resources, the latest technologies, and modern methods of production management. Production potential has been identified as having several specific characteristics: integrity, interchangeability, interconnection, flexibility, or adaptability. It is noted that the potential concentrates three levels of connections and relationships at the same time: reflects the past, characterizes the present in terms of practical application, future-oriented. Six main methods used in the estimation of production potential are investigated and characterized: economic-statistical, method of production functions, method of cost estimation, index, indicator, and matrix methods. The principles that must be followed when diagnosing the production potential of the enterprise are determined: the completeness of the original data and the universality of the information base; reliability and availability of collected data; the possibility of using two types of assessment of production potential: resource-productive and rating; use of the concept of potential in a certain direction; use of basic and additional indicators; availability of certain evaluation criteria for the main and additional indicators. It is substantiated that the interpretation of the definition of “production potential” is ambiguous, as well as the methods of its evaluation. It is noted that without the study of production potential is not possible strategic development and planning of other activities of the enterprise and the process of managing the production potential of an industrial enterprise is aimed at efficient use of all its resources in the long run.


2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Anitha Juliette Albert ◽  
Seshasayanan Ramachandran

Floating point multiplication is a critical part in high dynamic range and computational intensive digital signal processing applications which require high precision and low power. This paper presents the design of an IEEE 754 single precision floating point multiplier using asynchronous NULL convention logic paradigm. Rounding has not been implemented to suit high precision applications. The novelty of the research is that it is the first ever NULL convention logic multiplier, designed to perform floating point multiplication. The proposed multiplier offers substantial decrease in power consumption when compared with its synchronous version. Performance attributes of the NULL convention logic floating point multiplier, obtained from Xilinx simulation and Cadence, are compared with its equivalent synchronous implementation.


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