In various examples, metadata may be generated corresponding to compressed data streams that are compressed according to serial compression algorithms—such as arithmetic encoding, entropy encoding, etc.—in order to allow for parallel decompression of the compressed data. As a result, modification to the compressed data stream itself may not be required, and bandwidth and storage requirements of the system may be minimally impacted. In addition, by parallelizing the decompression, the system may benefit from faster decompression times while also reducing or entirely removing the adoption cycle for systems using the metadata for parallel decompression.

Techniques are disclosed for identifying fixed bits of a bitstring format. One or more processors are configured to generate a first bitstring having respective first bit values that have a first satisfiability state and generate a second bitstring having respective second bit values that have a second satisfiability state. The one or more processors are configured to identify first potential free bits having respective first common values and generate a third bitstring having first potential free bits with the respective first common values and third remaining bits. The one or more processors are configured to identify second potential free bits having respective second common values and identify a fixed bit that is not included in the first potential free bits and is not included in the second potential free bits.

Examples may include racks for a data center and sleds for the racks, the sleds arranged to house physical resources for the data center. The sleds and racks can be arranged to be autonomously manipulated, such as, by a robot. The sleds and racks can include features to facilitate automated installation, removal, maintenance, and manipulation by a robot.

A compression engine calculates replacement CRC codes, in predetermined data lengths, for DIF-in cleartext data including cleartext data and multiple CRC codes based on the cleartext data. The compression engine generates headered compressed-text data in which a header including the replacement CRC codes is added to compressed-text data in which the cleartext data is compressed, and generates code-in compressed-text data by calculating multiple CRC codes based on the headered compressed-text data to add the calculated CRC codes to the headered compressed-text data.

Embodiments are generally directed apparatuses, methods, techniques and so forth to select two or more processing units of the plurality of processing units to process a workload, and configure a circuit switch to link the two or more processing units to process the workload, the two or more processing units each linked to each other via paths of communication and the circuit switch.

Systems, apparatus and methods are provided for compressing data. A method may include receiving an input data block to be compressed, determining numbers of occurrences for distinct symbols in the input data block, generating reduced numbers of occurrences for the distinct symbols based on the numbers of occurrences for the distinct symbols and encoding the input data block using the reduced numbers of occurrences as probability distribution of the distinct symbols in the input data block.

A compression device includes a dictionary based encoder, a second buffer, a comparator, and a compression data generator. The dictionary based encoder searches for second data at least partially matching first data from a first buffer, and acquires a first match position indicating a position of the second data in the first buffer and a match length indicating a matched length of the first and second data. The second buffer stores the previously acquired second match position with an index. The compression data generator generates first compressed data that includes the index assigned to the second match position in the second buffer and the match length when the first match position matches the second match position in the second buffer.

Embodiments are generally directed apparatuses, methods, techniques and so forth to receive a sled manifest comprising identifiers for physical resources of a sled, receive results of an authentication and validation operations performed to authenticate and validate the physical resources of the sled, determine whether the results of the authentication and validation operations indicate the physical resources are authenticate or not authenticate. Further and in response to the determination that the results indicate the physical resources are authenticated, permit the physical resources to process a workload, and in response to the determination that the results indicate the physical resources are not authenticated, prevent the physical resources from processing the workload.

In various examples, metadata may be generated corresponding to compressed data streams that are compressed according to serial compression algorithms—such as arithmetic encoding, entropy encoding, etc.—in order to allow for parallel decompression of the compressed data. As a result, modification to the compressed data stream itself may not be required, and bandwidth and storage requirements of the system may be minimally impacted. In addition, by parallelizing the decompression, the system may benefit from faster decompression times while also reducing or entirely removing the adoption cycle for systems using the metadata for parallel decompression.

A method includes a host computing device receiving a segment group of data. The method further includes the host computing device evaluating availability status of other computing devices in the storage cluster of computing devices. When one of the other computing devices is unavailable, the method further includes the host computing device dividing the segment group of data into a plurality of lines of data blocks. For a line of the data blocks, the method further includes the host computing device generating at least one parity block. The method further includes the host computing device sending a first data segment that includes first positioned data blocks to a first available computing device. The method further includes the host computing device sending a second data segment that includes second positioned data blocks to a second available computing device. The method further includes the host computing device storing a parity segment.