A selected annotated bibliography for spaceborne multiprocessing study

Bibliography on application of multiprocessor systems to space mission

AES-EPO study program, volume I Final study report

Conceptual study of possible solutions to long- term and time-critical reliability problems affecting Apollo command module guidance and control compute

Future Computer Requirements for Computational Aerodynamics

Recent advances in computational aerodynamics are discussed as well as motivations for and potential benefits of a National Aerodynamic Simulation Facility having the capability to solve fluid dynamic equations at speeds two to three orders of magnitude faster than presently possible with general computers. Two contracted efforts to define processor architectures for such a facility are summarized

Literature Review For Networking And Communication Technology

Report documents the results of a literature search performed in the area of networking and communication technology

Space Station Freedom data management system growth and evolution report

The Information Sciences Division at the NASA Ames Research Center has completed a 6-month study of portions of the Space Station Freedom Data Management System (DMS). This study looked at the present capabilities and future growth potential of the DMS, and the results are documented in this report. Issues have been raised that were discussed with the appropriate Johnson Space Center (JSC) management and Work Package-2 contractor organizations. Areas requiring additional study have been identified and suggestions for long-term upgrades have been proposed. This activity has allowed the Ames personnel to develop a rapport with the JSC civil service and contractor teams that does permit an independent check and balance technique for the DMS

State-of-the-art Assessment For Simulated Forces

Summary of the review of the state of the art in simulated forces conducted to support the research objectives of Research and Development for Intelligent Simulated Forces

Reconfiguration for Fault Tolerance and Performance Analysis

Architecture reconfiguration, the ability of a system to alter the active interconnection among modules, has a history of different purposes and strategies. Its purposes develop from the relatively simple desire to formalize procedures that all processes have in common to reconfiguration for the improvement of fault-tolerance, to reconfiguration for performance enhancement, either through the simple maximizing of system use or by sophisticated notions of wedding topology to the specific needs of a given process. Strategies range from straightforward redundancy by means of an identical backup system to intricate structures employing multistage interconnection networks. The present discussion surveys the more important contributions to developments in reconfigurable architecture. The strategy here is in a sense to approach the field from an historical perspective, with the goal of developing a more coherent theory of reconfiguration. First, the Turing and von Neumann machines are discussed from the perspective of system reconfiguration, and it is seen that this early important theoretical work contains little that anticipates reconfiguration. Then some early developments in reconfiguration are analyzed, including the work of Estrin and associates on the fixed plus variable restructurable computer system, the attempt to theorize about configurable computers by Miller and Cocke, and the work of Reddi and Feustel on their restructable computer system. The discussion then focuses on the most sustained systems for fault tolerance and performance enhancement that have been proposed. An attempt will be made to define fault tolerance and to investigate some of the strategies used to achieve it. By investigating four different systems, the Tandern computer, the C.vmp system, the Extra Stage Cube, and the Gamma network, the move from dynamic redundancy to reconfiguration is observed. Then reconfiguration for performance enhancement is discussed. A survey of some proposals is attempted, then the discussion focuses on the most sustained systems that have been proposed: PASM, the DC architecture, the Star local network, and the NYU Ultracomputer. The discussion is organized around a comparison of control, scheduling, communication, and network topology. Finally, comparisons are drawn between fault tolerance and performance enhancement, in order to clarify the notion of reconfiguration and to reveal the common ground of fault tolerance and performance enhancement as well as the areas in which they diverge. An attempt is made in the conclusion to derive from this survey and analysis some observations on the nature of reconfiguration, as well as some remarks on necessary further areas of research

Vector coprocessor sharing techniques for multicores: performance and energy gains

Vector Processors (VPs) created the breakthroughs needed for the emergence of computational science many years ago. All commercial computing architectures on the market today contain some form of vector or SIMD processing. Many high-performance and embedded applications, often dealing with streams of data, cannot efficiently utilize dedicated vector processors for various reasons: limited percentage of sustained vector code due to substantial flow control; inherent small parallelism or the frequent involvement of operating system tasks; varying vector length across applications or within a single application; data dependencies within short sequences of instructions, a problem further exacerbated without loop unrolling or other compiler optimization techniques. Additionally, existing rigid SIMD architectures cannot tolerate efficiently dynamic application environments with many cores that may require the runtime adjustment of assigned vector resources in order to operate at desired energy/performance levels. To simultaneously alleviate these drawbacks of rigid lane-based VP architectures, while also releasing on-chip real estate for other important design choices, the first part of this research proposes three architectural contexts for the implementation of a shared vector coprocessor in multicore processors. Sharing an expensive resource among multiple cores increases the efficiency of the functional units and the overall system throughput. The second part of the dissertation regards the evaluation and characterization of the three proposed shared vector architectures from the performance and power perspectives on an FPGA (Field-Programmable Gate Array) prototype. The third part of this work introduces performance and power estimation models based on observations deduced from the experimental results. The results show the opportunity to adaptively adjust the number of vector lanes assigned to individual cores or processing threads in order to minimize various energy-performance metrics on modern vector- capable multicore processors that run applications with dynamic workloads. Therefore, the fourth part of this research focuses on the development of a fine-to-coarse grain power management technique and a relevant adaptive hardware/software infrastructure which dynamically adjusts the assigned VP resources (number of vector lanes) in order to minimize the energy consumption for applications with dynamic workloads. In order to remove the inherent limitations imposed by FPGA technologies, the fifth part of this work consists of implementing an ASIC (Application Specific Integrated Circuit) version of the shared VP towards precise performance-energy studies involving high- performance vector processing in multicore environments