Examples may include techniques to allocate physical accelerator resources from pools of accelerator resources. In particular, virtual computing devices can be composed from physical resources and physical accelerator resources dynamically allocated to the virtual computing devices. The present disclosure provides that physical accelerator resources can be dynamically allocated, or composed, to a virtual computing device despite not being physically coupled to other components in the virtual device.

Technologies for allocating resources of a set of managed nodes to workloads to manage heat generation include an orchestrator server to receive resource allocation objective data including a target temperature for one or more of the managed nodes. The orchestrator server is also to determine an initial assignment of a set of workloads among the managed nodes, receive telemetry data from the managed nodes indicative of resource utilization by each of the managed nodes and one or more temperatures and fan speeds of the managed nodes as the workloads are performed, predict future heat generation of the workloads as a function of the telemetry data, determine, as a function of the predicted future heat generation, an adjustment to the assignment of the workloads to achieve the target temperature, and apply the adjustments to the assignments of the workloads among the managed nodes as the workloads are performed.

A method of reducing the storage requirements of blockchain metadata via dictionary-style compression includes receiving a request to add a transaction block to a blockchain. The method further includes determining an identifier (ID) of a dictionary block most recently stored on the blockchain. The method further includes compressing, by a processing device, one or more transactions of the transaction block based on the dictionary block to generate a compressed transaction block. The method further includes adding the ID of the dictionary block to the compressed transaction block. The method further includes providing the compressed transaction block, including the ID of the dictionary block, for storage on the blockchain.

Technologies for managing the efficiency of workload execution in a managed node include a managed node that includes one or more processors that each include multiple cores. The managed nodes is to execute threads of workloads assigned to the managed node, generate telemetry data indicative of an efficiency of execution of the threads, determine, as a function of the telemetry data, an adjustment to a configuration of the threads among the cores to increase the efficiency of the execution of the threads, and apply the determined adjustment. Other embodiments are also described and claimed.

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 can house physical resources and heat sinks thermally coupled to the physical resources. The physical resources are arranged on the sleds and the heat sinks are configured so as to limit thermal shadowing between physical resources to reduce interference with airflow provided by fans of the racks.

Systems and methods for stream-based compression include an encoder of a first device that receives an input stream of bytes including a first byte preceded by one or more second bytes. The encoder may determine to identify a prefix code for the first byte. The encoder may select a prefix code table using the one or more second bytes. The encoder may identify, from the selected prefix code table, the prefix code of the first byte. The encoder may generate an output stream of bytes by replacing the first byte in the input stream with the prefix code of the first byte. The encoder may transmit the output stream from the encoder of the first device to a decoder of a second device. The output stream may have a fewer number of bits than the input stream.

Technologies for allocating resources of a set of managed nodes to workloads based on resource utilization phase residencies include an orchestrator server to receive resource allocation objective data and determine an assignment of a set of workloads among the managed nodes. The orchestrator server is further to receive telemetry data from the managed nodes, determine, as a function of the telemetry data, phase residency data, determine, as a function of at least the phase residency data and the resource allocation objective data, an adjustment to the assignment of the workloads to increase an achievement of at least one of the resource allocation objectives without decreasing the achievement of any of the other resource allocation objectives, and apply the adjustment to the assignments of the workloads among the managed nodes as the workloads are performed.

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 first level and second level 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.

The disclosure is directed at a method of data compression. The method includes creating a set of single composite data structures and then calculating a set of bit probabilities based on the set of single data structures. The bit probabilities are then used to create a set of intermediate buffers which are then sorted and traversed for data compression.

Methods of encoding and decoding data in which some data symbols are entropy coded and some data symbols are bypass coded. The encoder separates the coded symbols into an entropy coded stream and a bypass coded stream. The streams are packaged in a data unit that has a payload structured to contain one of the streams in forward order and the other stream in reverse order, with the reverse order stream aligned with the end of the data unit. In this manner, at the decoder, the decoder may begin decoding the forward order stream from its beginning and may also begin decoding the reverse order stream from its beginning at the end of the data unit by extracting symbols in reverse order. The data unit does not need to signal the length of the streams. The decoder determines the length of the data unit from explicit or implicit signaling.