A data processing device (10) is to be connected to another data processing device (20) and includes a first communicator (180) to share flow settings information for executing a first partial processing and a second partial processing included in a processing flow with the another data processing device (20), an execution controller (140) to cause a processing unit (130) to execute the first partial processing in accordance with the flow settings information, and a second communicator (190) to execute at least one of transmission of a first processing result obtained by execution of the first partial processing to the another data processing device (20) or reception of a second processing result obtained by execution of the second partial processing by the another data processing device (20).

A data processing apparatus includes a first processing unit that executes real-time processing with respect to data, a second processing unit that executes batch processing with respect to data that is output from the first processing unit as a result of processing by the first processing unit, and a monitor that monitors a status of the processing by the first processing unit and a status of processing by the second processing unit. The first processing unit includes a plurality of subprocessing units and buffers, and the second processing unit also includes a plurality of subprocessing units and buffers. The second processing unit includes a storage. The monitor includes a first monitor that monitors, for each of the buffers included in the first processing unit, an amount of the data stored in the corresponding buffer and a second monitor that monitors a total amount of the data stored in the buffers included in the second processing unit and the data stored in the storage.

A data processing device (10) is to be connected to another data processing device (20) and includes a first communicator (180) to share flow settings information for executing a first partial processing and a second partial processing included in a processing flow with the another data processing device (20), an execution controller (140) to cause a processing unit (130) to execute the first partial processing in accordance with the flow settings information, and a second communicator (190) to execute at least one of transmission of a first processing result obtained by execution of the first partial processing to the another data processing device (20) or reception of a second processing result obtained by execution of the second partial processing by the another data processing device (20).

A high-endurance, computation-in-memory processor includes a plurality of memory computation modules (MCMs). Each of the MCMs comprise a plurality of memory arrays and a respective module controller to program the plurality of memory arrays to perform mathematical operations on a data set, as well as communicate with other of the MCMs to control a data flow between the MCMs. An inter-module interconnect transports operational data between the MCMs, and communicates with the MCMs to maintain queues storing the operational data during transport between the MCMs. A digital signal processor (DSP) transmits input data to the MCMs and retrieves processed data output by the MCMs.

A data processing system includes a central processing unit (CPU) and accelerator cards coupled to the CPU over a bus, each of the accelerator cards having a plurality of data processing (DP) accelerators to receive DP tasks from the CPU and to perform the received DP tasks. At least two of the accelerator cards are coupled to each other via an inter-card connection, and at least two of the DP accelerators are coupled to each other via an inter-chip connection. Each of the inter-card connection and the inter-chip connection is capable of being dynamically activated or deactivated, such that in response to a request received from the CPU, any one of the accelerator cards or any one of the DP accelerators within any one of the accelerator cards can be enabled or disabled to process any one of the DP tasks received from the CPU.

System on a chip, comprising several master pieces of equipment, several slave resources, an interconnection circuit capable of routing transactions between master pieces of equipment and slave resources, and a processing unit at least configured to allow a user of the system on a chip to implement within the system on a chip at least one configuration diagram of this system defined by a set of configuration pieces of information including at least one piece of identification information assigned to each master piece of equipment, The identification pieces of information are intended to be attached to all the transactions emitted by the corresponding master pieces of equipment, the set of configuration pieces of information not being used for addressing the slave resources receiving the transactions and being used to define an assignment of at least one piece of master equipment to at least some of the slave resources.

Temporal proximity of newly formed social relationships is used to determine the likelihood of common features being shared by users in the newly formed social relationships. The respective times in which each of a plurality of new relationships are formed are determined to be related to each other, and user information associated each of a plurality of respective contact accounts who are the subject of the new relationships are compared, and a common feature likely shared by the respective contact accounts is identified based on the comparing.

Techniques are disclosed for enabling collaborative work on a media content among collaborators through a cloud-based environment. An example method comprises receiving the media content; extracting a plurality of text-based data based on the media content; and indexing the plurality of text-based data so as to enable one or more actions to be performed on the media content using the plurality of text-based data. In some embodiments, the media content comprises an audio component, and the method further comprises transcribing the audio component of the media content so that the plurality of text-based data comprises a transcript of the media content. In some embodiments, the actions include a text-based search or a semantics-based search. Among other benefits, some embodiments provided herein enable indexing media content for text-based searches and/or metadata extraction to effectively manage multimedia files in a cloud-based storage/service environment.

Each NIC performs an aggregation calculation of data output from each processor in a normal order including a head NIC located at a head position of a first pipeline connection, an intermediate NIC located at an intermediate position, and a tail NIC located at a tail position, and when the aggregation calculation in the tail NIC is completed, each NIC starts distribution of an obtained aggregation result, distributes the aggregation result in a reverse order including the tail NIC, the intermediate NIC, and the head NIC, and outputs the aggregation result to the processor of the communication interface.

In a parallel computer system having multiple information processing apparatuses, a first information processing apparatus includes circuitry configured to wait for calculation target data from each of one or more other information processing apparatuses being included in the plurality of information processing apparatus; carry out an average calculation that calculates an average value of a plurality of calculation target data including the waited calculation target data; and transmit the calculated average value to a second information processing apparatus being one of the plurality of information processing apparatuses and being different from the other information processing apparatuses. This configuration makes it possible to achieve highly-precise collective average calculation without requiring bit expansion.