Technologies for heuristic Huffman code generation include a computing device that generates a weighted list of symbols for a data block. The computing device determines a threshold weight and identifies one or more lightweight symbols in the list that have a weight less than or equal to the threshold weight. The threshold weight may be the average weight of all symbols with non-zero weight in the list. The computing device generates a balanced sub-tree of nodes for the lightweight symbols, with each lightweight symbol associated with a leaf node. The computing device adds the remaining symbols and the root of the balanced sub-tree to a heap and generates a Huffman code tree by processing the heap. The threshold weight may be adjusted to tune performance and compression ratio. Other embodiments are described and claimed.

A heating fluid control system determines the aggregated demand for heating fluid from a plurality of sources of demand in a building and deactivates a boiler that provides the heating fluid when the aggregated demand is zero. The sources of demand can include radiators and domestic hot water fixtures. Valves that control the flow of heating fluid from the boiler to these sources of demand can transmit signals representative of the position of the valve. A controller can use these signals and other signals to determine the demand for heating fluid from each source of demand. The controller evaluates the signals to determine the aggregate system demand. And after deactivating the boiler, the controller can reactivate the boiler when the aggregate system demand is determined to be non-zero. Methods of using such heating systems are also disclosed.

Technologies for performing low-latency decompression include a managed node to parse, in response to a determination that a read tree descriptor does not match a cached tree descriptor, the read tree descriptor to construct one or more tables indicative of codes in compressed data. Each code corresponds to a different symbol. The managed node is further to decompress the compressed data with the one or more tables and store the one or more tables in association with the read tree descriptor in a cache memory for subsequent use.

Embodiments are generally directed apparatuses, methods, techniques and so forth determine an access level of operation based on an indication received via one or more network links from a pod management controller, and enable or disable a firmware update capability for a firmware device based on the access level of operation, the firmware update capability to change firmware for the firmware device. Embodiments may also include determining one or more configuration settings of a plurality of configuration settings to enable for configuration based on the access level of operation, and enable configuration of the one or more configuration settings.

A rack for supporting a sleds includes a pair of elongated support posts and pairs of elongated support arms that extend from the elongated support posts. Each pair of the elongated support arms defines a sled slot to receive a corresponding sled. To do so, each elongated support arm includes a circuit board guide to receive a chassis-less circuit board substrate of the corresponding sled. The rack may include a cross-member arm associated with each sled slot and an optical connector mounted to each cross-member arm. Additional elongated support posts may be used to provide additional sled slots.

Technologies for high-performance single-stream data compression include a computing device that updates an index data structure based on an input data stream. The input data stream is divided into multiple chunks. Each chunk has a predetermined length, such as 136 bytes, and overlaps the previous chunk by a predetermine amount, such as eight bytes. The computing device processes multiple chunks in parallel using the index data to generate multiple token streams. The tokens include literal tokens and reference tokens that refer to matching data from earlier in the input data stream. The computing device thus searches for matching data in parallel. The computing device merges the token streams to generate a single output token stream. The computing device may merge a pair of tokens from two different chunks to generate one or more synchronized tokens that are output to the output token stream. Other embodiments are described and claimed.

Technologies for blind mating of optical connectors in a rack of a data center are disclosed. In the illustrative embodiment, a sled can be slid into a rack and an optical connector on the sled will blindly mate with a corresponding optical connector on the rack. The illustrative optical connector on the sled includes two guide post receivers which mate with corresponding guide posts on the optical connector on the rack such that, when mated, optical fibers of the optical connector on the rack will be aligned and optically coupled with corresponding optical fibers on the optical connector of the sled.

Examples may include sleds for a rack in a data center including physical accelerator resources and memory for the accelerator resources. The memory can be shared between the accelerator resources. One or more memory controllers can be provided to couple the accelerator resources to the memory to provide memory access to all the accelerator resources. Each accelerator resource can include a memory controller to access a portion of the memory while the accelerator resources can be coupled via an out-of-band channel to provide memory access to the other portions of the memory.

Technologies for variable extent storage include multiple computing devices in communication over an optical fabric. A computing device receives a key-value storage request from an application that is indicative of a key. The computing device identifies one or more non-volatile storage blocks to store a value associated with the key and issues a non-volatile memory (NVM) input/output (I/O) command indicative of the NVM storage blocks to an NVM subsystem. The key-value storage request may include a read request or a store request, and the I/O command may include a read command or a write command. The I/O command may be issued to an NVM subsystem over the optical fabric. The computing device may be embodied as a storage sled of a data center, and the application may be executed by a compute sled of the data center. Other embodiments are described and claimed.

Technologies for low-latency compression in a data center are disclosed. In the illustrative embodiment, a storage sled compresses data with a low-latency compression algorithm prior to storing the data. The latency of the compression algorithm is less than the latency of the storage device, so that the latency of the storage and retrieval times are not significantly affected by the compression and decompression. In other embodiments, a compute sled may compress data with a low-latency compression algorithm prior to sending the data to a storage sled.