Abstract: A processing system includes a primary processor and a co-processor. The primary processor is couplable to a memory subsystem having at least one memory and operating to execute system software employing memory address translations based on one or more page tables stored in the memory subsystem. The co-processor is likewise couplable to the memory subsystem and operates to perform iterations of a page table walk through one or more page tables maintained for the memory subsystem and to perform one or more page management operations on behalf of the system software based the iterations of the page table walk. The page management operations performed by the co-processor include analytic data aggregation, free list management and page allocation, page migration management, page table error detection, and the like.

Abstract: An approach is provided for implementing a useful proof-of-work consensus algorithm. A proposed block is received. A combined hash value is generated based on the proposed block and a nonce value. The combined hash value is divided into a plurality of hash value pieces that each correspond to a work packet of a plurality of work packets. One or more requests are transmitted for the plurality of work packets that correspond to the plurality of hash value pieces. In response to receiving the plurality of work packets, a plurality of results is generated by performing, for each work packet of the plurality of work packets, one or more operations to complete work specified by the respective work packet. In response to determining that at least one result of the plurality of results satisfies one or more criteria, the proposed block is added to a blockchain maintained by the blockchain network.

Abstract: Separating temperature domains in cooled systems, including: cooling at least one first component of a circuit board using a first cooling system; and conductively coupling the at least one first component to at least one second component using a superconductive portion of a power plane of the circuit board.

Abstract: A processing system includes a primary processor and a co-processor. The primary processor is couplable to a memory subsystem having at least one memory and operating to execute system software employing memory address translations based on one or more page tables stored in the memory subsystem. The co-processor is likewise couplable to the memory subsystem and operates to perform iterations of a page table walk through one or more page tables maintained for the memory subsystem and to perform one or more page management operations on behalf of the system software based the iterations of the page table walk. The page management operations performed by the co-processor include analytic data aggregation, free list management and page allocation, page migration management, page table error detection, and the like.

Abstract: A neural network runs a known input data set using an error free power setting and using an error prone power setting. The differences in the outputs of the neural network using the two different power settings determine a high level error rate associated with the output of the neural network using the error prone power setting. If the high level error rate is excessive, the error prone power setting is adjusted to reduce errors by changing voltage and/or clock frequency utilized by the neural network system. If the high level error rate is within bounds, the error prone power setting can remain allowing the neural network to operate with an acceptable error tolerance and improved efficiency. The error tolerance can be specified by the neural network application.

Abstract: An approach is provided for implementing a useful proof-of-work consensus algorithm. A proposed block is received. A combined hash value is generated based on the proposed block and a nonce value. The combined hash value is divided into a plurality of hash value pieces that each correspond to a work packet of a plurality of work packets. One or more requests are transmitted for the plurality of work packets that correspond to the plurality of hash value pieces. In response to receiving the plurality of work packets, a plurality of results is generated by performing, for each work packet of the plurality of work packets, one or more operations to complete work specified by the respective work packet. In response to determining that at least one result of the plurality of results satisfies one or more criteria, the proposed block is added to a blockchain maintained by the blockchain network.

Abstract: Systems, apparatuses, and methods for implementing as part of a processor pipeline a reprogrammable execution unit capable of executing specialized instructions are disclosed. A processor includes one or more reprogrammable execution units which can be programmed to execute different types of customized instructions. When the processor loads a program for execution, the processor loads a bitfile associated with the program. The processor programs a reprogrammable execution unit with the bitfile so that the reprogrammable execution unit is capable of executing specialized instructions associated with the program. During execution, a dispatch unit dispatches the specialized instructions to the reprogrammable execution unit for execution.

Abstract: Systems, apparatuses, and methods for implementing as part of a processor pipeline a reprogrammable execution unit capable of executing specialized instructions are disclosed. A processor includes one or more reprogrammable execution units which can be programmed to execute different types of customized instructions. When the processor loads a program for execution, the processor loads a bitfile associated with the program. The processor programs a reprogrammable execution unit with the bitfile so that the reprogrammable execution unit is capable of executing specialized instructions associated with the program. During execution, a dispatch unit dispatches the specialized instructions to the reprogrammable execution unit for execution.

Abstract: A neural network runs a known input data set using an error free power setting and using an error prone power setting. The differences in the outputs of the neural network using the two different power settings determine a high level error rate associated with the output of the neural network using the error prone power setting. If the high level error rate is excessive, the error prone power setting is adjusted to reduce errors by changing voltage and/or clock frequency utilized by the neural network system. If the high level error rate is within bounds, the error prone power setting can remain allowing the neural network to operate with an acceptable error tolerance and improved efficiency. The error tolerance can be specified by the neural network application.

Abstract: The described embodiments include an input-output memory management unit (IOMMU) with two or more memory elements and a controller. The controller is configured to select, based on one or more factors, one or more selected memory elements from among the two or more memory elements for performing virtual address to physical address translations in the IOMMU. The controller then performs the virtual address to physical address translations using the one or more selected memory elements.

Abstract: Separating temperature domains in cooled systems, including: cooling at least one first component of a circuit board using a first cooling system; and conductively coupling the at least one first component to at least one second component using a superconductive portion of a power plane of the circuit board.

Abstract: A neural network runs a known input data set using an error free power setting and using an error prone power setting. The differences in the outputs of the neural network using the two different power settings determine a high level error rate associated with the output of the neural network using the error prone power setting. If the high level error rate is excessive, the error prone power setting is adjusted to reduce errors by changing voltage and/or clock frequency utilized by the neural network system. If the high level error rate is within bounds, the error prone power setting can remain allowing the neural network to operate with an acceptable error tolerance and improved efficiency. The error tolerance can be specified by the neural network application.

Abstract: An electronic device includes a non-volatile memory and a memory controller. The memory controller selects, from the type-duration table, a duration for which data of a type of data is to be stored in a non-volatile memory. The memory controller writes the data to the non-volatile memory using values of one or more write parameters selected by the memory controller based on the duration. The memory controller sets an expected lifetime value in a record for the data in the expected lifetime table to indicate an expected lifetime of the data in the non-volatile memory.

Abstract: Various messaging systems and methods are disclosed for meeting invitation management. In one aspect, a method of messaging is provided that includes generating a message to invite one or more invitees to a meeting. The message includes an assertion to suppress an auto-responder of the one or more invitees. The message is sent to the one or more invitees. The assertion suppresses the auto-responder of the one or more invitees.

Abstract: An electronic device includes a non-volatile memory and a controller. The controller receives data to be written to the non-volatile memory and determines a type of the data. Based on the type of the data, the controller selects a given duration of the data from among multiple durations of the data in the non-volatile memory. The controller sets values of one or more parameters for writing the data to the non-volatile memory based on the given duration. The controller writes the data to the non-volatile memory using the values of the one or more write parameters.

Abstract: A processing system includes a primary processor and a co-processor. The primary processor is couplable to a memory subsystem having at least one memory and operating to execute system software employing memory address translations based on one or more page tables stored in the memory subsystem. The co-processor is likewise couplable to the memory subsystem and operates to perform iterations of a page table walk through one or more page tables maintained for the memory subsystem and to perform one or more page management operations on behalf of the system software based the iterations of the page table walk. The page management operations performed by the co-processor include analytic data aggregation, free list management and page allocation, page migration management, page table error detection, and the like.

Abstract: A host processor receives an address translation request from an accelerator, which may be trusted or un-trusted. The address translation request includes a virtual address in a virtual address space that is shared by the host processor and the accelerator. The host processor encrypts a physical address in a host memory indicated by the virtual address in response to the accelerator being permitted to access the physical address. The host processor then provides the encrypted physical address to the accelerator. The accelerator provides memory access requests including the encrypted physical address to the host processor, which decrypts the physical address and selectively accesses a location in the host memory indicated by the decrypted physical address depending upon whether the accelerator is permitted to access the location indicated by the decrypted physical address.

Abstract: Systems, apparatuses, and methods for sharing an field programmable gate array compute engine are disclosed. A system includes one or more processors and one or more FPGAs. The system receives a request, generated by a first user process, to allocate a portion of processing resources on a first FPGA. The system maps the portion of processing resources of the first FPGA into an address space of the first user process. The system prevents other user processes from accessing the portion of processing resources of the first FPGA. Later, the system detects a release of the portion of the processing resources on the first FPGA by the first user process. Then, the system receives a second request to allocate the first FPGA from a second user process. In response to the second request, the system maps the first FPGA into an address space of the second user process.

Abstract: An electronic device includes a non-volatile memory and a controller. The controller receives data to be written to the non-volatile memory and determines a type of the data. Based on the type of the data, the controller selects a given duration of the data from among multiple durations of the data in the non-volatile memory. The controller sets values of one or more parameters for writing the data to the non-volatile memory based on the given duration. The controller writes the data to the non-volatile memory using the values of the one or more write parameters.

Abstract: Systems, apparatuses, and methods for implementing as part of a processor pipeline a reprogrammable execution unit capable of executing specialized instructions are disclosed. A processor includes one or more reprogrammable execution units which can be programmed to execute different types of customized instructions. When the processor loads a program for execution, the processor loads a bitfile associated with the program. The processor programs a reprogrammable execution unit with the bitfile so that the reprogrammable execution unit is capable of executing specialized instructions associated with the program. During execution, a dispatch unit dispatches the specialized instructions to the reprogrammable execution unit for execution.