Abstract: Circuitry for decomposing block floating-point numbers into lower precision floating-point numbers is provided. The circuitry may include a high precision storage circuit configured to provide high precision floating-point numbers, input selectors configured to receive the high precision floating-point numbers from the high precision storage circuit and to generate corresponding lower precision floating-point components with adjusted exponents, and a low precision block floating-point vector circuit configured to combine the various lower precision floating-point components generated by the input selectors. The lower precision floating-point components may be processed spatially or over multiple iterations over time.

Abstract: A processing device having a sequence of sorting elements arranged in an array. Each of the sorting elements stores a previously retained value therein and receives an input value from a previous sorting element. Each sorting element applies retention logic to select one of the input value or the retained value to be passed to the next sorting element in the array. The value that is passed to the next sorting element can either be set to be the larger, or the smaller, of the input value and the previously retained value, as desired. Rows of processing elements in the array operate in parallel such that large data streams are sorted in parallel (with the data values moving down from one row of processing elements to the next row such that the largest, or the smallest, data values accumulating in the final row of processing elements).

Abstract: A processing device having a sequence of sorting elements arranged in an array. Each of the sorting elements stores a previously retained value therein and receives an input value from a previous sorting element. Each sorting element applies retention logic to select one of the input value or the retained value to be passed to the next sorting element in the array. The value that is passed to the next sorting element can either be set to be the larger, or the smaller, of the input value and the previously retained value, as desired. Rows of processing elements in the array operate in parallel such that large data streams are sorted in parallel (with the data values moving down from one row of processing elements to the next row such that the largest, or the smallest, data values accumulating in the final row of processing elements).

Abstract: Various embodiments are generally directed to securing systems that include hardware accelerators, such as FPGA-based accelerators, and privileged system components. Some embodiments may provide a security broker. In various embodiments, the security broker may provide interfaces between the hardware accelerator and the privileged component. Some embodiments may receive an instruction from the hardware accelerator targeting the privileged component, and validate the instruction based on a configuration. In some embodiments, upon determining the instruction is not validated, the instruction is restricted from further processing.

Abstract: Various embodiments are generally directed to securing systems that include hardware accelerators, such as FPGA-based accelerators, and privileged system components. Some embodiments may provide a security broker. In various embodiments, the security broker may provide interfaces between the hardware accelerator and the privileged component. Some embodiments may receive an instruction from the hardware accelerator targeting the privileged component, and validate the instruction based on a configuration. In some embodiments, upon determining the instruction is not validated, the instruction is restricted from further processing.

Abstract: Various embodiments are generally directed to securing systems that include hardware accelerators, such as FPGA-based accelerators, and privileged system components. Some embodiments may provide a security broker. In various embodiments, the security broker may provide interfaces between the hardware accelerator and the privileged component. Some embodiments may receive an instruction from the hardware accelerator targeting the privileged component, and validate the instruction based on a configuration. In some embodiments, upon determining the instruction is not validated, the instruction is restricted from further processing.

Abstract: Circuitry for decomposing block floating-point numbers into lower precision floating-point numbers is provided. The circuitry may include a high precision storage circuit configured to provide high precision floating-point numbers, input selectors configured to receive the high precision floating-point numbers from the high precision storage circuit and to generate corresponding lower precision floating-point components with adjusted exponents, and a low precision block floating-point vector circuit configured to combine the various lower precision floating-point components generated by the input selectors. The lower precision floating-point components may be processed spatially or over multiple iterations over time.

Abstract: Various embodiments are generally directed to securing systems that include hardware accelerators, such as FPGA-based accelerators, and privileged system components. Some embodiments may provide a security broker. In various embodiments, the security broker may provide interfaces between the hardware accelerator and the privileged component. Some embodiments may receive an instruction from the hardware accelerator targeting the privileged component, and validate the instruction based on a configuration. In some embodiments, upon determining the instruction is not validated, the instruction is restricted from further processing.