Abstract: A system and method of storing and analyzing information is disclosed. The system includes a compiler layer to convert user queries to data parallel executable code. The system further includes a library of multithreaded algorithms, processes, and data structures. The system also includes a multithreaded runtime library for implementing compiled code at runtime. The executable code is dynamically loaded on computing elements and contains calls to the library of multithreaded algorithms, processes, and data structures and the multithreaded runtime library.

Abstract: A plurality of hardware accelerators are interconnected and include a special processing unit and accelerator memory. At least one host computer is coupled to each of the plurality of hardware accelerators and includes a general processing unit and host memory. The plurality of hardware accelerators exchange data in a ring communication pattern in computing a linear layer of a neural network.

Abstract: A method for context-aware data mining of a text document includes receiving a list of words parsed and preprocessed from an input query; computing a related distributed embedding representation for each word in the list of words using a word embedding model of the text document being queried; aggregating the related distributed embedding representations of all words in the list of words to represent the input query with a single embedding, by using one of an average of all the related distributed embedding representations or a maximum of all the related distributed embedding representations; retrieving a ranked list of document segments of N lines that are similar to the aggregated word embedding representation of the query, where N is a positive integer provided by the user; and returning the list of retrieved segments to a user.

Abstract: A data index sequence indexing a dataset is received. A location of a data sample identified by a data index in the data index sequence is determined. A scheme is generated for specifying a data movement based on the location. Responsive to determining that the location is a cache of a process, the data sample in the cache can be reused without having to load the data sample from a storage device.

Abstract: An application to run on a computer node comprising a plurality of hardware components is received. Expected performance of the hardware components is received. A power shifting ratio associated with each of the plurality of hardware components for each phase of the application is determined. Power between the hardware components is dynamically shifted based on the power shifting ratio at different phases of the application.

Abstract: An approach is disclosed that maintains a consistent view of a virtual address by a local node which writes a first value to the virtual address and, after writing the first value, establishes a snapshot consistency state of the virtual address. The virtual address is shared amongst any number of processes and the processes includes a writing process and other processes that read from the virtual address. After writing the first value, the writing process writes a second value to the virtual address. Even after writing the second value, the first value is still visible to the other processes.

Abstract: An application to run on a computer node comprising a plurality of hardware components is received. Expected performance of the hardware components is received. A power shifting ratio associated with each of the plurality of hardware components for each phase of the application is determined. Power between the hardware components is dynamically shifted based on the power shifting ratio at different phases of the application.

Abstract: A plurality of hardware accelerators are interconnected and include a special processing unit and accelerator memory. At least one host computer is coupled to each of the plurality of hardware accelerators and includes a general processing unit and host memory. The plurality of hardware accelerators exchange data in a ring communication pattern in computing a linear layer of a neural network.

Abstract: A system and method of storing and analyzing information is disclosed. The system includes a compiler layer to convert user queries to data parallel executable code. The system further includes a library of multithreaded algorithms, processes, and data structures. The system also includes a multithreaded runtime library for implementing compiled code at runtime. The executable code is dynamically loaded on computing elements and contains calls to the library of multithreaded algorithms, processes, and data structures and the multithreaded runtime library.

Abstract: A system and method of storing and analyzing information is disclosed. The system includes a compiler layer to convert user queries to data parallel executable code. The system further includes a library of multithreaded algorithms, processes, and data structures. The system also includes a multithreaded runtime library for implementing compiled code at runtime. The executable code is dynamically loaded on computing elements and contains calls to the library of multithreaded algorithms, processes, and data structures and the multithreaded runtime library.

Abstract: A system and method of storing and analyzing information is disclosed. The system includes a compiler layer to convert user queries to data parallel executable code. The system further includes a library of multithreaded algorithms, processes, and data structures. The system also includes a multithreaded runtime library for implementing compiled code at runtime. The executable code is dynamically loaded on computing elements and contains calls to the library of multithreaded algorithms, processes, and data structures and the multithreaded runtime library.