Technologies for encrypted data access by field-programmable gate array (FPGA) user kernels include a computing device having an FPGA and an external memory device accessible by the FPGA. The FPGA includes a secure key store, a micro-encryption engine, and multiple slots for user kernels that are each identifiable with an index. A user kernel is programmed at an index and a symmetric encryption key is provisioned to the secure key store at the index. The micro encryption engine may read encrypted data from the external memory device, decrypt the encrypted data with the key associated with the index of the user kernel, and forward plain text data to the user kernel. The micro encryption engine may also receive plain text data from the user kernel, encrypt the plain text data with the key, and write the encrypted data to the external memory device. Other embodiments are described and claimed.

A device includes a plurality of ports and a plurality of capability registers that correspond to a respective one of the plurality of ports. The device is to connect to one or more processors of a host device through the plurality of ports, and each of the plurality of ports comprises a respective protocol stack to support a respective link between the corresponding port and the host device according to a particular interconnect protocol. Each of the plurality of capability registers comprises a respective set of fields for use in configuration of the link between its corresponding port and one of the one or more processors of the host device. The fields include a field to indicate an association between the port and a particular processor, a field to indicate a port identifier for the port, and a field to indicate a total number of ports of the device.

An approach is described that provides access to a named data element in a Coordination Namespace that is stored in a memory that is distributed amongst a set of nodes. A request of a name corresponding to the named data element is received from a requesting process and the approach responsively searches for the name in the Coordination Namespace. In response to determining an absence of data corresponding to the named data element, a pending state is indicated to the requesting process. In response to determining that the data corresponding to the named data element exists, a successful state is returned to the requesting process. In one embodiment, the successful state also includes providing the requesting process with access to the data corresponding to the named data element.

An approach is described that provides a distributed directory structure within a storage of an information handling system (a local node). A request is received with the request corresponding to a shared virtual address. The shared virtual address that is shared amongst a number of nodes that includes the local node and some remote nodes. A Global Address Space Directory (GASD) is retrieved that corresponds to a global virtual address space. The GASD is stored in a Coordination Namespace that is stored in a memory that is distributed amongst the nodes. A mapping that is included in the GASD is used to determine the node where the shared virtual address currently resides. The shared virtual address is then accessed from the node where it currently resides.

Technologies for high-ratio compression with heterogeneous history buffers include a computing device having an accelerator complex with a large history buffer and a small history buffer. The large history buffer has a larger size than the small history buffer. For example, the small history buffer may be 32 kilobytes and the large history buffer may be 64 kilobytes, 1 megabyte, or larger. The large history buffer is coupled to a large-buffer compare core that searches for matches in the large history buffer, finds a best match, and forwards the best match to a small-buffer compare core. The small-buffer compare core searches the small history buffer for matches, receives the match forwarded from the large-buffer compare core, and determines a best match from the matches in the small history buffer and the forwarded match. Other embodiments are described and claimed.

Technologies for database acceleration include a computing device having a database accelerator. The database accelerator performs a decompress operation on one or more compressed elements of a compressed database to generate one or more decompressed elements. After decompression of the compressed elements, the database accelerator prepares the one or more decompressed elements to generate one or more prepared elements to be processed by an accelerated filter. The database accelerator then performs the accelerated filter on the one or more prepared elements to generate one or more output elements. Other embodiments are described and claimed.

The present application presents a Uniform Memory Access (UMA) network including a cluster of UMA nodes each having at least one UMA memory unit and a server local to the at least one UMA memory unit. A respective UMA memory unit in a respective UMA node comprises persistent memory; non-persistent memory, a node control device operatively coupled to the persistent memory and the non-persistent memory, a local interface for interfacing with the local server in the respective UMA node, and a network interface for interfacing with the UMA network. The node control device is configured to translate between a local unified memory access (UMA) address space accessible by applications running on the local server and a global UMA address space that is mapped to a physical UMA address space. The physical UMA address space includes physical address spaces associated with different UMA nodes in the cluster of UMA nodes. Thus, a server in the UMA network can access the physical address spaces at other UMA nodes without going through the servers in the other UMA nodes.

An embodiment of a semiconductor package apparatus may include technology to provide a first interface between a first storage device and a host device, and provide a second interface directly between the first storage device and a second storage device. Other embodiments are disclosed and claimed.

A device includes a plurality of ports and a plurality of capability registers that correspond to a respective one of the plurality of ports. The device is to connect to one or more processors of a host device through the plurality of ports, and each of the plurality of ports comprises a respective protocol stack to support a respective link between the corresponding port and the host device according to a particular interconnect protocol. Each of the plurality of capability registers comprises a respective set of fields for use in configuration of the link between its corresponding port and one of the one or more processors of the host device. The fields include a field to indicate an association between the port and a particular processor, a field to indicate a port identifier for the port, and a field to indicate a total number of ports of the device.

Technologies for dividing work across one or more accelerator devices include a compute device. The compute device is to determine a configuration of each of multiple accelerator devices of the compute device, receive a job to be accelerated from a requester device remote from the compute device, and divide the job into multiple tasks for a parallelization of the multiple tasks among the one or more accelerator devices, as a function of a job analysis of the job and the configuration of each accelerator device. The compute engine is further to schedule the tasks to the one or more accelerator devices based on the job analysis and execute the tasks on the one or more accelerator devices for the parallelization of the multiple tasks to obtain an output of the job.