A computer system includes a plurality of hardware processors, and a hardware accelerator. A first processor among the plurality of processor runs an application that issues a data compression request to compress or decompress a data stream. The hardware accelerator selectively operates in different modes to compresses or decompresses the data stream. Based on a selected mode, the hardware accelerator can utilize a different number of processors among the plurality of hardware to compress or decompress the data stream.

A data encoding system includes a non-transitory memory, a processor, a digital-to-analog converter (DAC) and a transmitter. The non-transitory memory stores a predetermined file size threshold. The processor is in operable communication with the memory, and is configured to receive data. The processor detects a file size associated with the data. When the file size is below the predetermined file size threshold, the processor compresses the data using a variable length codeword (VLC) encoder. When the file size is not below the predetermined file size threshold, the processor compresses the data, using a hash table algorithm. The DAC is configured to receive a digital representation of the compressed data from the processor and convert the digital representation of the compressed data into an analog representation of the compressed data. The transmitter is coupled to the DAC and configured to transmit the analog representation of the compressed data.

Embodiments of the invention are directed to a DEFLATE compression accelerator and to a method for verifying the correctness of the DEFLATE compression accelerator. The accelerator includes an input buffer and a Lempel-Ziv 77 (LZ77) compressor communicatively coupled to an output of the input buffer. A switch is communicatively coupled to the output of the input buffer and to the output of the LZ77 compressor. The switch is configured to bypass the LZ77 compressor during a compression test. The accelerator further includes a deflate Huffman encoder communicatively coupled to an output of the switch and an output buffer communicatively coupled to the deflate Huffman encoder. When the switch is not bypassed, the compressor can be modified to produce repeatable results.

Example systems and methods that perform adaptive delta compression for timeseries data are described. In one implementation, one or more computer processors analyze timeseries data to identify properties about the data. The one or more computer processors select at least one compression primitive based on at least one test. A window size is dynamically changed based on the analysis results and the at least one compression primitive.

Examples described herein relate to an encoder circuitry to apply one of multiple lossless data compression schemes on input data. In some examples, to compress input data, the encoder circuitry is to utilize a search window size and number of searches based on an applied compression scheme. In some examples, content of a memory is reconfigured to store data corresponding to a search window size of the applied compression scheme. In some examples, an applicable hash function is configured based on the applied compression scheme. In some examples, a number of searches are made for a byte position. In some examples, the encoder circuitry includes a hash table look-up and a bank decoder. In some examples, the hash table look-up is to generate a hash index to identify an address of an entry in the search window. In some examples, the bank decoder is to select a bank based on the hash index.

Technologies for switching network traffic include a network switch. The network switch includes one or more processors and communication circuitry coupled to the one or more processors. The communication circuitry is capable of switching network traffic of multiple link layer protocols. Additionally, the network switch includes one or more memory devices storing instructions that, when executed, cause the network switch to receive, with the communication circuitry through an optical connection, network traffic to be forwarded, and determine a link layer protocol of the received network traffic. The instructions additionally cause the network switch to forward the network traffic as a function of the determined link layer protocol. Other embodiments are also described and claimed.

Examples may include sleds for a rack in a data center including physical compute resources and memory for the physical compute resources. The memory can be disaggregated, or organized into near and far memory. A first sled can comprise the physical compute resources and a first set of physical memory resources while a second sled can comprise a second set of physical memory resources. The first set of physical memory resources can be coupled to the physical compute resources via a local interface while the second set of physical memory resources can be coupled to the physical compute resources via a fabric.

Technologies for adaptive processing of multiple buffers is disclosed. A compute device may establish a buffer queue to which applications can submit buffers to be processed, such as by hashing the submitted buffers. The compute device monitors the buffer queue and determines an efficient way of processing the buffer queue based on the number of buffers present. The compute device may process the buffers serially with a single processor core of the compute device or may process the buffers in parallel with single-instruction, multiple data (SIMD) instructions. The compute device may determine which method to use based on a comparison of the throughput of serially processing the buffers as compared to parallel processing the buffers, which may depend on the number of buffers in the buffer queue.

Out-of-band management techniques for networking fabrics are described. In an example embodiment, an apparatus may comprise a packet-switched network interface to deconstruct a packet received via an out-of-band management network and control circuitry to execute an out-of-band management agent, and the out-of-band management agent may be operative to identify a configuration command comprised in the received packet and control an optical circuit-switched network interface based on the configuration command. Other embodiments are described and claimed.

One embodiment provides a method comprising receiving an input data stream, partitioning the input data stream into a plurality of data blocks, and compressing the data blocks utilizing a plurality of processor sets. Each processor set is assigned a data block to compress. The processor sets compress in parallel to exploit inter-block parallelism. Each processor set comprises one or more processors that collaborate in compressing an assigned data block to exploit intra-block parallelism. The method further comprises writing a plurality of compressed data blocks resulting from the compressing to a storage device in encoded form.