Abstract: The present invention is directed to an apparatus for more efficient exergy and power usage in data centers. Denominated FRAME (standing for “Forced Recuperation, Aggregation & Movement of Exergy”), the apparatus is a power production and exergy management system (exergy being energy available to do useful work, as opposed to energy, which can be changed to a form, usually heat, rendering it unavailable). The apparatus integrates generally isothermal operation with phase-change and single-phase liquid cooling having variable operating temperatures and pressures, aided by a dynamically reconfigurable “thermal bus” comprising multi-fluid thermal fluid transport channels, virtual plumbing, and associated support devices. The apparatus minimizes exergy use through efficient operation and by recuperating and aggregating useful exergy that may then be dynamically repurposed to meet energy or power needs that would otherwise have to be met via external means.

Abstract: An affordable, highly trustworthy, survivable and available, operationally efficient distributed supercomputing infrastructure for processing, sharing and protecting both structured and unstructured information. A primary objective of the SHADOWS infrastructure is to establish a highly survivable, essentially maintenance-free shared platform for extremely high-performance computing (i.e., supercomputing)—with “high performance” defined both in terms of total throughput, but also in terms of very low-latency (although not every problem or customer necessarily requires very low latency)—while achieving unprecedented levels of affordability at its simplest, the idea is to use distributed “teams” of nodes in a self-healing network as the basis for managing and coordinating both the work to be accomplished and the resources available to do the work. The SHADOWS concept of “teams” is responsible for its ability to “self-heal” and “adapt” its distributed resources in an “organic” manner.

Abstract: An affordable, highly trustworthy, survivable and available, operationally efficient distributed supercomputing infrastructure for processing, sharing and protecting both structured and unstructured information. A primary objective of the SHADOWS infrastructure is to establish a highly survivable, essentially maintenance-free shared platform for extremely high-performance computing (i.e., supercomputing)—with “high performance” defined both in terms of total throughput, but also in terms of very low-latency (although not every problem or customer necessarily requires very low latency)—while achieving unprecedented levels of affordability at its simplest, the idea is to use distributed “teams” of nodes in a self-healing network as the basis for managing and coordinating both the work to be accomplished and the resources available to do the work. The SHADOWS concept of “teams” is responsible for its ability to “self-heal” and “adapt” its distributed resources in an “organic” manner.

Abstract: Computer-implemented methods for analyzing computer programs written in semi-structured languages are disclosed. The method is based on unification of the two classic forms of program flow analysis, control flow and data flow analysis. As such, it is capable of substantially increased precision, which increases the effectiveness of applications such as automated parallelization and software testing. Certain implementations of the method are based on a process of converting source code to a decision graph and transforming that into one or more alpha graphs which support various applications in software development. The method is designed for a wide variety of digital processing platforms, including highly parallel machines. The method may also be adapted to the analysis of (semi-structured) flows in other contexts including water systems and electrical grids.

Abstract: Computer-implemented methods for analyzing computer programs written in semi-structured languages are disclosed. The method is based on unification of the two classic forms of program flow analysis, control flow and data flow analysis. As such, it is capable of substantially increased precision, which increases the effectiveness of applications such as automated parallelization and software testing. Certain implementations of the method are based on a process of converting source code to a decision graph and transforming that into one or more alpha graphs which support various applications in software development. The method is designed for a wide variety of digital processing platforms, including highly parallel machines. The method may also be adapted to the analysis of (semi-structured) flows in other contexts including water systems and electrical grids.

Abstract: An affordable, highly trustworthy, survivable and available, operationally efficient distributed supercomputing infrastructure for processing, sharing and protecting both structured and unstructured information. A primary objective of the SHADOWS infrastructure is to establish a highly survivable, essentially maintenance-free shared platform for extremely high-performance computing (i.e., supercomputing)—with “high performance” defined both in terms of total throughput, but also in terms of very low-latency (although not every problem or customer necessarily requires very low latency)—while achieving unprecedented levels of affordability at its simplest, the idea is to use distributed “teams” of nodes in a self-healing network as the basis for managing and coordinating both the work to be accomplished and the resources available to do the work. The SHADOWS concept of “teams” is responsible for its ability to “self-heal” and “adapt” its distributed resources in an “organic” manner.

Abstract: An affordable, highly trustworthy, survivable and available, operationally efficient distributed supercomputing infrastructure for processing, sharing and protecting both structured and unstructured information. A primary objective of the SHADOWS infrastructure is to establish a highly survivable, essentially maintenance-free shared platform for extremely high-performance computing (i.e., supercomputing)—with “high performance” defined both in terms of total throughput, but also in terms of very low-latency (although not every problem or customer necessarily requires very low latency)—while achieving unprecedented levels of affordability at its simplest, the idea is to use distributed “teams” of nodes in a self-healing network as the basis for managing and coordinating both the work to be accomplished and the resources available to do the work. The SHADOWS concept of “teams” is responsible for its ability to “self-heal” and “adapt” its distributed resources in an “organic” manner.

Abstract: An affordable, highly trustworthy, survivable and available, operationally efficient distributed supercomputing infrastructure for processing, sharing and protecting both structured and unstructured information. A primary objective of the SHADOWS infrastructure is to establish a highly survivable, essentially maintenance-free shared platform for extremely high-performance computing (i.e., supercomputing)—with “high performance” defined both in terms of total throughput, but also in terms of very low-latency (although not every problem or customer necessarily requires very low latency)—while achieving unprecedented levels of affordability at its simplest, the idea is to use distributed “teams” of nodes in a self-healing network as the basis for managing and coordinating both the work to be accomplished and the resources available to do the work. The SHADOWS concept of “teams” is responsible for its ability to “self-heal” and “adapt” its distributed resources in an “organic” manner.

Abstract: An affordable, highly trustworthy, survivable and available, operationally efficient distributed supercomputing infrastructure for processing, sharing and protecting both structured and unstructured information. A primary objective of the SHADOWS infrastructure is to establish a highly survivable, essentially maintenance-free shared platform for extremely high-performance computing (i.e., supercomputing)—with “high performance” defined both in terms of total throughput, but also in terms of very low-latency (although not every problem or customer necessarily requires very low latency)—while achieving unprecedented levels of affordability at its simplest, the idea is to use distributed “teams” of nodes in a self-healing network as the basis for managing and coordinating both the work to be accomplished and the resources available to do the work. The SHADOWS concept of “teams” is responsible for its ability to “self-heal” and “adapt” its distributed resources in an “organic” manner.

Abstract: Computer-implemented methods for analyzing computer programs written in semi-structured languages are disclosed. The method is based on unification of the two classic forms of program flow analysis, control flow and data flow analysis. As such, it is capable of substantially increased precision, which increases the effectiveness of applications such as automated parallelization and software testing. Certain implementations of the method are based on a process of converting source code to a decision graph and transforming that into one or more alpha graphs which support various applications in software development. The method is designed for a wide variety of digital processing platforms, including highly parallel machines. The method may also be adapted to the analysis of (semi-structured) flows in other contexts including water systems and electrical grids.

Abstract: An affordable, highly trustworthy, survivable and available, operationally efficient distributed supercomputing infrastructure for processing, sharing and protecting both structured and unstructured information. A primary objective of the SHADOWS infrastructure is to establish a highly survivable, essentially maintenance-free shared platform for extremely high-performance computing (i.e., supercomputing)—with “high performance” defined both in terms of total throughput, but also in terms of very low-latency (although not every problem or customer necessarily requires very low latency)—while achieving unprecedented levels of affordability at its simplest, the idea is to use distributed “teams” of nodes in a self-healing network as the basis for managing and coordinating both the work to be accomplished and the resources available to do the work. The SHADOWS concept of “teams” is responsible for its ability to “self-heal” and “adapt” its distributed resources in an “organic” manner.