Patent classifications
H03M7/6017
Computerized methods of data compression and analysis
A computerized method and apparatus compresses symbolic information, such as text. Symbolic information is compressed by recursively identifying pairs of symbols (e.g., pairs of words or characters) and replacing each pair with a respective replacement symbol. The number of times each symbol pair appears in the uncompressed text is counted, and pairs are only replaced if they appear more than a threshold number of times. In recursive passes, each replaced pair can include a previously substituted replacement symbol. The method and apparatus can achieve high compression especially for large datasets. Metadata, such as the number of times each pair appears, generated during compression of the documents can be used to analyze the documents and find similarities between two documents.
Technologies for providing accelerated functions as a service in a disaggregated architecture
Technologies for providing accelerated functions as a service in a disaggregated architecture include a compute device that is to receive a request for an accelerated task. The task is associated with a kernel usable by an accelerator sled communicatively coupled to the compute device to execute the task. The compute device is further to determine, in response to the request and with a database indicative of kernels and associated accelerator sleds, an accelerator sled that includes an accelerator device configured with the kernel associated with the request. Additionally, the compute device is to assign the task to the determined accelerator sled for execution. Other embodiments are also described and claimed.
Cloud-based scale-up system composition
Technologies for composing a managed node with multiple processors on multiple compute sleds to cooperatively execute a workload include a memory, one or more processors connected to the memory, and an accelerator. The accelerator further includes a coherence logic unit that is configured to receive a node configuration request to execute a workload. The node configuration request identifies the compute sled and a second compute sled to be included in a managed node. The coherence logic unit is further configured to modify a portion of local working data associated with the workload on the compute sled in the memory with the one or more processors of the compute sled, determine coherence data indicative of the modification made by the one or more processors of the compute sled to the local working data in the memory, and send the coherence data to the second compute sled of the managed node.
Encoding device, encoding method, decoding device, decoding method, and computer-readable recording medium
A non-transitory computer-readable recording medium stores therein an encoding program that causes a computer to execute a process including: first creating a plurality of pieces of encoded data that are obtained by encoding a plurality of files by using a specific encoding format; second creating a plurality of encoded blocks that are obtained by dividing combined encoded data, the combined encoded data being obtained by combining the plurality of pieces of the encoded data into blocks with a fixed length; and third creating an index associated with each of the plurality of the encoded blocks.
Floating-point adder, semiconductor device, and control method for floating-point adder
An object of the invention is to speed up processing of adding floating-point numbers. A floating-point adder includes: a first register configured to store a first fixed-point number having a predetermined number of digits corresponding to a result of accumulation of a plurality of floating-point numbers; a first conversion unit configured to convert an input first floating-point number into a second fixed-point number having the predetermined number of digits; a second register configured to store the second fixed-point number; an adder configured to add the second fixed-point number stored in the second register and the first fixed-point number stored in the first register, and store a result of the addition in the first register as the first fixed-point number; and a second conversion unit configured to convert the first fixed-point number into a second floating-point number, and output the second floating-point number.
System and components for encoding integers
A system for encoding and decoding data-tokens. In some examples, the system may be configured to encode and decode integers. In other cases, the system may be configured to encode and decode symbols or bytes of data.
Systems, Methods, and Apparatuses for Decompression using Hardware and Software
Detailed herein are embodiments of systems, methods, and apparatuses for decompression using hardware and software. In hardware, an input buffer stores incoming input records from a compressed stream. A plurality of decoders decode at least one input record from the input buffer out output an intermediate record from the decoded data and a subset of the plurality of decoders to output a stream of literals. Finally, a reformat circuit formats an intermediate record into one of two types of tokens.
Performing parallel deflate compression
A computing system includes a network interface, a processor, and a decompression circuit. In response to a compression request from the processor the decompression circuit compresses data to produce compressed data and transmits the compressed data through the network interface. In response to a decompression request from the processor for compressed data the decompression circuit retrieves the requested compressed data, speculatively detects codewords in each of a plurality of overlapping bit windows within the compressed data, selects valid codewords from some, but not all of the overlapping bit windows, decodes the selected valid codewords to generate decompressed data, and provides the decompressed data to the processor.
Compression engine with consistent throughput
Systems and method provide for consistent throughput of one or more compression engines. Data received from an input stream is stored in a buffer. Data is read from the buffer and distributed to the compression engines. Latency of the compression engines is monitored. If latency exceeds a threshold, data is read from the buffer and written to an output stream simultaneously with reading of data and inputting it to the compression engines. Data from the input stream may be evaluated for likely compressibility and non-compressible data may be written to the output stream bypassing both the buffer and the compression engines.
Cloud encoding system
A system (and corresponding method and devices) for encoding an ungrouped signal into a plurality of grouped signals, wherein the ungrouped signal comprises at least a video service. The system further comprises: a first encoding means provided in a production system configured to execute a first encoding of the ungrouped video signal into a first encoded grouped signal and to associate encoding information with the first encoded signal; a second encoding means provided in a distribution system, wherein the second encoding means is separate from said first encoding means and is configured to execute a plurality of second encodings so as to correspondingly obtain the plurality of grouped signals, each of the plurality of grouped signals characterized by a corresponding predetermined property, wherein the second encodings are performed on the basis of said first encoded signal using the encoding information; a connection means configured to transmit the encoding information from the first encoding means to the second encoding means, wherein the encoding information comprises information on the first encoding.