Abstract:
A system and method of dynamically provisioning virtualised computational resources in a networked computer architecture includes at least one client device operable to run one or more client applications, at least one server device and a resource controller. Each server device comprises one or more physical processors with local memory. Each server device provides a virtual resource layer through which one or more virtual processing resources can be defined and through which the physical processors of the server device can be assigned to the virtual processing resources. In use, one or more virtual processing resources is assigned to a client application for processing of data processing workloads. The resource controller then monitors the utilisation of each virtual processing resource and/or any physical processor assigned to the virtual processing resource. The resource controller can dynamically adjust which, and how many, physical processors are assigned to the virtual processing resource.
Abstract:
A method of data compression includes obtaining a data set comprising a sequence of data blocks comprising a predetermined number of data items, partitioning said data set into one or more groups each comprising a predetermined number of data blocks, and performing data compression on one or more groups of data blocks. Data compression is performed by associating a control data item with each of said blocks, generating a control vector comprising the control data items assigned to each of said blocks within a group, removing data blocks comprising entirely data items having said specified value, compressing data blocks comprising at least one data item having a value different from said specified value using a fixed-rate compression scheme, providing a compressed data stream comprising said compressed data blocks, and providing an associated control vector stream to enable control of said compressed data stream.
Abstract:
A method of generating a hardware design for a pipelined parallel stream processor. The method includes defining a processing operation designating processes to be implemented in hardware as part of said pipelined parallel stream processor and defining a graph representing said processing operation as a parallel structure in the time domain as a function of clock cycles. The method also includes defining the at least one data path and associated latencies of said graph as a set of algebraic linear inequalities, collectively solving the set of linear inequalities for the entire graph, optimizing the at least one data path in the graph using the solved linear inequalities to produce an optimized graph, and utilizing the optimized graph to define an optimized hardware design for implementation in hardware as the pipelined parallel stream processor.
Abstract:
A method of utilizing high level synthesis to automatically configure control logic of a hardware design for a pipelined parallel stream processor includes obtaining a scheduled graph representing a processing operation in the time domain as a function of clock cycles. The graph comprises a data path to be implemented in hardware as part of said stream processor, an input, an output, and parallel branches to enable data values to be streamed therethrough from the input to the output as a function of increasing clock cycle. The data path is partitioned to divide it into a plurality of discrete regions. Discrete control logic elements are assigned to each region using high level synthesis. The graph and assigned control logic is used to define a hardware design for the pipelined parallel stream processor.
Abstract:
A method of generating a hardware design for a stream processor. The method includes defining a graph representing a processing operation designating processes to be implemented in hardware as part of the stream processor. The graph represents the processing operation in the time domain as a function of clock cycles and includes at least one data path. At least one stream offset object is provided located at a particular point in the data path. The stream offset object is operable to access, for a particular clock cycle and for the particular point in the data path, data values from a clock cycle different from the particular clock cycle