Abstract: A system includes a plurality of graph convolutional networks corresponding to a plurality of time steps, each network modelling a graph including nodes and edges, and in turn including a plurality of graph convolution units; an evolving mechanism; and an output layer. Each of the units, for a given one of the time steps, takes as input a graph adjacency matrix, a node feature matrix, and a parameter matrix for a current layer, and outputs a new node feature matrix for a next highest layer. The mechanism takes as input a parameter matrix for a prior time step updates the input parameter matrix, and outputs the parameter matrix for the given time step. The output layer obtains, as input, output of each of the units for a final time step, and based on the output of each of the units for the final time step, outputs a graph solution.

Abstract: Disclosed are compositions and methods relating to sequence-controlled storage objected. The disclosed sequence-controlled storage objects can include (a) one or more different sequence-controlled polymers, and (b) a plurality of different feature tags. The sequence-controlled storage object can include (a) one or more different sequence-controlled polymers, and (b) a plurality of different digit tags. Also disclosed are methods of storing desired sequence-controlled polymers as a sequence-controlled storage object, comprising assembling a sequence-controlled storage object from (i) one or more different sequence-controlled polymers, (ii) a plurality of different feature tags, and (iii) optionally one or more encapsulating agents. Also disclosed are methods of automating the assembly of a sequence-controlled storage object comprising using a device with flow.

Abstract: A system includes a plurality of graph convolutional networks corresponding to a plurality of time steps, each network modelling a graph including nodes and edges, and in turn including a plurality of graph convolution units; an evolving mechanism; and an output layer. Each of the units, for a given one of the time steps, takes as input a graph adjacency matrix, a node feature matrix, and a parameter matrix for a current layer, and outputs a new node feature matrix for a next highest layer. The mechanism takes as input a parameter matrix for a prior time step updates the input parameter matrix, and outputs the parameter matrix for the given time step. The output layer obtains, as input, output of each of the units for a final time step, and based on the output of each of the units for the final time step, outputs a graph solution.

Abstract: A CDN service provider shares its CDN infrastructure with a network to enable a network service provider (NSP) to offer a private-labeled network content delivery network (NCDN or “private CDN”) to participating content providers. The CDNSP preferably provides the hardware, software and services required to build, deploy, operate and manage the CDN for the NCDN customer. Thus, the NCDN customer has access to and can make available to participating content providers one or more of the content delivery services (e.g., HTTP delivery, streaming media delivery, application delivery, and the like) available from the global CDN without having to provide the large capital investment, R&D expense and labor necessary to successfully deploy and operate the network itself. Rather, the global CDN service provider simply operates the private CDN for the network as a managed service.

Abstract: The present invention describes a system and method for scheduling jobs on a multiprocessor system. The invention includes schedulers for use in both work-sharing and work-stealing environments. Each system utilizes a task scheduler using historical usage information, in conjunction with a job scheduler to achieve its results. In one embodiment, the task scheduler measures the time spent on various activities, in conjunction with its previous processor allocation or previous desire, to determine an indication of its current processor desire. In another embodiment of the present invention, the task scheduler measures the resources used by the job on various activities. Based on these measurements, the task scheduler determines the efficiency of the job and an indication of its current processor desire. In another embodiment, the task scheduler measures the resources consumed executing the job and determines its efficiency and an indication of its current processor desire.

Abstract: A processor may operate in one of a plurality of operating states. In a Normal operating state, the processor is not involved with a memory transaction. Upon receipt of a transaction instruction to access a memory location, the processor transitions to a Transaction operating state. In the Transaction operating state, the processor performs changes to a cache line and data associated with the memory location. While in the Transaction operating state, any changes to the data and the cache line are not visible to other processors in the computing system. These changes become visible upon the processor entering a Commit operating state in response to receipt of a commit instruction. After changes become visible, the processor returns to the Normal operating state. If an abort event occurs prior to receipt of the commit instruction, the processor transitions to an Abort operating state where any changes to the data and cache line are discarded.

Abstract: A processor may operate in one of a plurality of operating states. In a Normal operating state, the processor is not involved with a memory transaction. Upon receipt of a transaction instruction to access a memory location, the processor transitions to a Transaction operating state. In the Transaction operating state, the processor performs changes to a cache line and data associated with the memory location. While in the Transaction operating state, any changes to the data and the cache line is not visible to other processors in the computing system. These changes become visible upon the processor entering a Commit operating state in response to receipt of a commit instruction. After changes become visible, the processor returns to the Normal operating state. If an abort event occurs prior to receipt of the commit instruction, the processor transitions to an Abort operating state where any changes to the data and cache line are discarded.

Abstract: A CDN service provider shares its CDN infrastructure with a network to enable a network service provider (NSP) to offer a private-labeled network content delivery network (NCDN or “private CDN”) to participating content providers. The CDNSP preferably provides the hardware, software and services required to build, deploy, operate and manage the CDN for the NCDN customer. Thus, the NCDN customer has access to and can make available to participating content providers one or more of the content delivery services (e.g., HTTP delivery, streaming media delivery, application delivery, and the like) available from the global CDN without having to provide the large capital investment, R&D expense and labor necessary to successfully deploy and operate the network itself. Rather, the global CDN service provider simply operates the private CDN for the network as a managed service.

Abstract: A CDN service provider shares its CDN infrastructure with a network to enable a network service provider (NSP) to offer a private-labeled network content delivery network (NCDN or “private CDN”) to participating content providers. The CDNSP preferably provides the hardware, software and services required to build, deploy, operate and manage the CDN for the NCDN customer. Thus, the NCDN customer has access to and can make available to participating content providers one or more of the content delivery services (e.g., HTTP delivery, streaming media delivery, application delivery, and the like) available from the global CDN without having to provide the large capital investment, R&D expense and labor necessary to successfully deploy and operate the network itself. Rather, the global CDN service provider simply operates the private CDN for the network as a managed service.

Abstract: A processor may operate in one of a plurality of operating states. In a Normal operating state, the processor is not involved with a memory transaction. Upon receipt of a transaction instruction to access a memory location, the processor transitions to a Transaction operating state. In the Transaction operating state, the processor performs changes to a cache line and data associated with the memory location. While in the Transaction operating state, any changes to the data and the cache line is not visible to other processors in the computing system. These changes become visible upon the processor entering a Commit operating state in response to receipt of a commit instruction. After changes become visible, the processor returns to the Normal operating state. If an abort event occurs prior to receipt of the commit instruction, the processor transitions to an Abort operating state where any changes to the data and cache line are discarded.

Abstract: A processor may operate in one of a plurality of operating states. In a Normal operating state, the processor is not involved with a memory transaction. Upon receipt of a transaction instruction to access a memory location, the processor transitions to a Transaction operating state. In the Transaction operating state, the processor performs changes to a cache line and data associated with the memory location. While in the Transaction operating state, any changes to the data and the cache line is not visible to other processors in the computing system. These changes become visible upon the processor entering a Commit operating state in response to receipt of a commit instruction. After changes become visible, the processor returns to the Normal operating state. If an abort event occurs prior to receipt of the commit instruction, the processor transitions to an Abort operating state where any changes to the data and cache line are discarded.

Abstract: A CDN service provider shares its CDN infrastructure with a network to enable a network service provider (NSP) to offer a private-labeled network content delivery network (NCDN or “private CDN”) to participating content providers. The CDNSP preferably provides the hardware, software and services required to build, deploy, operate and manage the CDN for the NCDN customer. Thus, the NCDN customer has access to and can make available to participating content providers one or more of the content delivery services (e.g., HTTP delivery, streaming media delivery, application delivery, and the like) available from the global CDN without having to provide the large capital investment, R&D expense and labor necessary to successfully deploy and operate the network itself. Rather, the global CDN service provider simply operates the private CDN for the network as a managed service.

Abstract: A CDN service provider shares its CDN infrastructure with a network to enable a network service provider (NSP) to offer a private-labeled network content delivery network (NCDN or “private CDN”) to participating content providers. The CDNSP preferably provides the hardware, software and services required to build, deploy, operate and manage the CDN for the NCDN customer. Thus, the NCDN customer has access to and can make available to participating content providers one or more of the content delivery services (e.g., HTTP delivery, streaming media delivery, application delivery, and the like) available from the global CDN without having to provide the large capital investment, R&D expense and labor necessary to successfully deploy and operate the network itself. Rather, the global CDN service provider simply operates the private CDN for the network as a managed service.

Abstract: In embodiments of the present invention improved capabilities are described for a runtime system for a multiple processing computing system, where multiple processing strands are implemented with hyperobjects. The hyperobject may be a reducer, a splitter, and the like, where the hyperobject may be considered a linguistic object that enables the operation of a plurality of views in the multiple processing environment. The runtime system may implement the hyperobject by managing operations on views, including one or more of creation, accessing, modifying, transferring, forking, combining, and destruction. Access of the views may happen independently from the linguistic control constructs of the code operating on the runtime system and may maintain the identity of the object so that any updating of the object results in updating of a view.

Abstract: The present invention describes a system and method for scheduling jobs on a multiprocessor system. The invention includes schedulers for use in both work-sharing and work-stealing environments. Each system utilizes a task scheduler using historical usage information, in conjunction with a job scheduler to achieve its results. In one embodiment, the task scheduler measures the time spent on various activities, in conjunction with its previous processor allocation or previous desire, to determine an indication of its current processor desire. In another embodiment of the present invention, the task scheduler measures the resources used by the job on various activities. Based on these measurements, the task scheduler determines the efficiency of the job and an indication of its current processor desire. In another embodiment, the task scheduler measures the resources consumed executing the job and determines its efficiency and an indication of its current processor desire.

Abstract: A CDN service provider shares its CDN infrastructure with a network to enable a network service provider (NSP) to offer a private-labeled network content delivery network (NCDN or “private CDN”) to participating content providers. The CDNSP preferably provides the hardware, software and services required to build, deploy, operate and manage the CDN for the NCDN customer. Thus, the NCDN customer has access to and can make available to participating content providers one or more of the content delivery services (e.g., HTTP delivery, streaming media delivery, application delivery, and the like) available from the global CDN without having to provide the large capital investment, R&D expense and labor necessary to successfully deploy and operate the network itself. Rather, the global CDN service provider simply operates the private CDN for the network as a managed service.

Abstract: A processor may operate in one of a plurality of operating states. In a Normal operating state, the processor is not involved with a memory transaction. Upon receipt of a transaction instruction to access a memory location, the processor transitions to a Transaction operating state. In the Transaction operating state, the processor performs changes to a cache line and data associated with the memory location. While in the Transaction operating state, any changes to the data and the cache line is not visible to other processors in the computing system. These changes become visible upon the processor entering a Commit operating state in response to receipt of a commit instruction. After changes become visible, the processor returns to the Normal operating state. If an abort event occurs prior to receipt of the commit instruction, the processor transitions to an Abort operating state where any changes to the data and cache line are discarded.

Abstract: A CDN service provider shares its CDN infrastructure with a network to enable a network service provider (NSP) to offer a private-labeled network content delivery network (NCDN or “private CDN”) to participating content providers. The CDNSP preferably provides the hardware, software and services required to build, deploy, operate and manage the CDN for the NCDN customer. Thus, the NCDN customer has access to and can make available to participating content providers one or more of the content delivery services (e.g., HTTP delivery, streaming media delivery, application delivery, and the like) available from the global CDN without having to provide the large capital investment, R&D expense and labor necessary to successfully deploy and operate the network itself. Rather, the global CDN service provider simply operates the private CDN for the network as a managed service.

Abstract: A CDN service provider shares its CDN infrastructure with a network to enable a network service provider (NSP) to offer a private-labeled network content delivery network (NCDN or “private CDN”) to participating content providers. The CDNSP preferably provides the hardware, software and services required to build, deploy, operate and manage the CDN for the NCDN customer. Thus, the NCDN customer has access to and can make available to participating content providers one or more of the content delivery services (e.g., HTTP delivery, streaming media delivery, application delivery, and the like) available from the global CDN without having to provide the large capital investment, R&D expense and labor necessary to successfully deploy and operate the network itself. Rather, the global CDN service provider simply operates the private CDN for the network as a managed service.

Abstract: A digital computer includes a plurality of processing elements, a command processor, a diagnostic processor and a communications network. The processing elements each performs data processing and data communications operations in connection with commands. The processing elements also performing diagnostic operations in response to diagnostic operation requests and providing diagnostic results in response thereto. The command processor generates commands for the processing elements, and also performs diagnostic operations in response to diagnostic operation requests and providing diagnostic results in response thereto. The diagnostic processor generates diagnostic requests. The communication network includes three elements, including a data router, a control network and a diagnostic network. The data router is connected to the processing elements for facilitating the transfer of data among them during a data communications operation.