Techniques for the realization of ultrareliable spaceborne computers Interim scientific report

Error-free ultrareliable spaceborne computer

Advanced software techniques for space shuttle data management systems Final report

Airborne/spaceborn computer design and techniques for space shuttle data management system

Parallel implementation of a ray tracer for underwater sound waves using the cuda libraries: description and application to the simulation of underwater networks

Una delle parti più dispendiose sotto l'aspetto del tempo impiegato nella simulazione di reti subacquee è la simulazione della propagazione sonora. Alcuni dei più noti software di settore per svolgere le simulazioni utilizzano il metodo di ray tracing. L'elevata complessità computazionale può far si che le simulazioni necessitino di molto tempo per essere effettuate. In questa si presenta un software in grado di velocizzare tali simulazioni. Il programma, coadiuvato dalla potenza di calcolo offerta dall'architettura parallela CUDA, implementa un ray tracer in grado di calcolare le traiettorie in modo parallelo. Ciò ha permesso di ottenere un simulatore con prestazioni decisamente migliori rispetto al ben noto software ad implementazione classica Bellhop. One of the most time-consuming parts of the simulation of underwater networks is the realistic simulation of underwater sound propagation. Some well-known software tools used for networks simulations to date employ ray tracing to simulate sound propagation. This gives rise to high computational complexity, and may require very long time to complete a simulation. In this thesis we present a faster tool able to simulate an underwater sound channel. The software is based on ray tracing and is based on the CUDA architecture, the general-purpose parallel computing architecture that uses the parallel computing engine in NVIDIA GPUs to efficiently solve complex computational problems. Following the CUDA programming model guideline, a ray tracer has been developed where the trajectory computation is performed in a CUDA-enabled parallel way, obtaining a ray tracer implementation that completes faster than the widely use single-thread Bellhop softwar

Reconfigurable G and C computer study for space station use. Volume 1 - Technical summary Final report, 29 Dec. 1969 - 31 Jan. 1971

Technical summary of reconfigurable guidance and control computer for space station application - Vol.

Functional requirements document for the Earth Observing System Data and Information System (EOSDIS) Scientific Computing Facilities (SCF) of the NASA/MSFC Earth Science and Applications Division, 1992

Five scientists at MSFC/ESAD have EOS SCF investigator status. Each SCF has unique tasks which require the establishment of a computing facility dedicated to accomplishing those tasks. A SCF Working Group was established at ESAD with the charter of defining the computing requirements of the individual SCFs and recommending options for meeting these requirements. The primary goal of the working group was to determine which computing needs can be satisfied using either shared resources or separate but compatible resources, and which needs require unique individual resources. The requirements investigated included CPU-intensive vector and scalar processing, visualization, data storage, connectivity, and I/O peripherals. A review of computer industry directions and a market survey of computing hardware provided information regarding important industry standards and candidate computing platforms. It was determined that the total SCF computing requirements might be most effectively met using a hierarchy consisting of shared and individual resources. This hierarchy is composed of five major system types: (1) a supercomputer class vector processor; (2) a high-end scalar multiprocessor workstation; (3) a file server; (4) a few medium- to high-end visualization workstations; and (5) several low- to medium-range personal graphics workstations. Specific recommendations for meeting the needs of each of these types are presented

Simulation of P systems with active membranes on CUDA

P systems or Membrane Systems provide a high-level computational modelling framework that combines the structure and dynamic aspects of biological systems in a relevant and understandable way. They are inherently parallel and non-deterministic computing devices. In this article, we discuss the motivation, design principles and key of the implementation of a simulator for the class of recognizer P systems with active membranes running on a (GPU). We compare our parallel simulator for GPUs to the simulator developed for a single central processing unit (CPU), showing that GPUs are better suited than CPUs to simulate P systems due to their highly parallel nature.Ministerio de Educación y Ciencia TIN2006-13425Junta de Andalucía P08–TIC-0420

An end-user platform for FPGA-based design and rapid prototyping of feedforward artificial neural networks with on-chip backpropagation learning

The hardware implementation of an artificial neural network (ANN) using field-programmable gate arrays (FPGAs) is a research field that has attracted much interest and attention. With the developments made, the programmer is now forced to face various challenges, such as the need to master various complex hardware-software development platforms, hardware description languages, and advanced ANN knowledge. Moreover, such an implementation is very time consuming. To address these challenges, this paper presents a novel neural design methodology using a holistic modeling approach. Based on the end-user programming concept, the presented solution empowers end users by means of abstracting the low-level hardware functionalities, streamlining the FPGA design process and supporting rapid ANN prototyping. A case study of an ANN as a pattern recognition module of an artificial olfaction system trained to identify four coffee brands is presented. The recognition rate versus training data features and data representation was analyzed extensively

Some paradigms for visualizing parallel execution of logic programs

This paper addresses the design of visual paradigms for observing the parallel execution of logic programs. First, an intuitive method is proposed for arriving at the design of a paradigm and its implementation as a tool for a given model of parallelism. This method is based on stepwise reñnement starting from the deñnition of basic notions such as events and observables and some precedence relationships among events which hold for the given model of parallelism. The method is then applied to several types of parallel execution models for logic programs (Orparallelism, Determinate Dependent And parallelism, Restricted and-parallelism) for which visualization paradigms are designed. Finally, VisAndOr, a tool which implements all of these paradigms is presented, together with a discussion of its usefulness through examples

Streaming Spectral Processing with Consumer-level Graphics Processing Units

This paper describes the implementation of a streaming spectral processing system for realtime audio in a consumer-level onboard GPU (Graphics Processing Unit) attached to an off-the-shelf laptop computer. It explores the implementation of four processes: standard phase vocoder analysis and synthesis, additive synthesis and the sliding phase vocoder. These were developed under the CUDA development environment as plugins for the Csound 6 audio programming language. Following a detailed exposition of the GPU code, results of performance tests are discussed for each algorithm. They demonstrate that such a system is capable of realtime audio, even under the restrictions imposed by a limited GPU capability