Abstract: A method of assigning processing resources is described. The method includes receiving an application and analyzing the application to determine an expected run time use of the processing resources. At least a portion of the processing resources are assigned to the application based on the expected run time use of the processing resources. A computing system architecture including a processing resource pool, an interface, and a special purpose optimization coprocessor is also described. The interface receives an application to be executed. The special purpose optimization coprocessor receives information about the application and the processing resource pool and outputs an allocation scheme for allocating tasks of the application to the processing resource pool.

Abstract: An apparatus including a policy acquisition circuit, a parameter acquisition circuit, and a parameter storage circuit. The policy acquisition circuit interprets a vehicle policy data value having at least one requested vehicle property. The parameter acquisition circuit interprets vehicle parameter values from providing end points each on at least one network zone of a vehicle. The parameter storage circuit selectively stores a portion of the vehicle parameter values. A first portion of the stored portion of the vehicle parameter values is stored on a storage end point distinct from an associated one of the providing end points for the at least a first portion of the stored vehicle parameter values. The parameter storage circuit also determines a reserved memory amount by determining an amount of data to be collected to support the at least a portion of the vehicle parameter values.

Abstract: The present disclosure describes single agent and combination therapies and uses for the treatment of cancer and/or cancer-associated diseases. The single agent and combinations therapies include a BCMA antibody.

Abstract: An apparatus for managing vehicle data collection including a policy acquisition circuit, a parameter acquisition circuit, and a parameter storage circuit. The policy acquisition circuit structured to interpret a vehicle policy data value including a requested vehicle property. The parameter acquisition circuit is structured to interpret a plurality of vehicle parameter values from a plurality of providing end points on at least one network zone of a vehicle. The parameter storage circuit is structured to selectively store at least a portion of the plurality of vehicle parameter values, determine a reserved memory amount associated with at least a portion of the plurality of vehicle parameter values by determining an amount of data to be collected to support plurality of vehicle parameter values; and perform the selectively storing the plurality of vehicle parameter values in response to the reserved memory amount.

Abstract: A method of efficiently executing a plurality of processes is described. The method generates, using a predictor, operating constraints for the processes. An operating constraint of the operating constraints is for each process of the processes. The method evaluates possible operating points for each process consistent with the operating constraints and according to a cost function for the processes. The method also determines an operating point for each process based on the evaluating.

Abstract: An analog computing system with coupled non-linear oscillators can solve complex combinatorial optimization problems using the weighted Ising model. The system is composed of a fully-connected LC oscillator network with low-cost electronic components and compatible with traditional integrated circuit technologies. Each LC oscillator, or node, in the network can be coupled to each other node in the array with a multiply and accumulate crossbar array or optical interconnects. When implemented with four nodes, the system performs with single-run ground state accuracies of 98% on randomized MAX-CUT problem sets with binary weights and 84% with five-bit weight resolutions. The four-node system can obtain solutions within five oscillator cycles with a time-to-solution that scales directly with oscillator frequency. A scaling analysis suggests that larger coupled oscillator networks may be used to solve computationally intensive problems faster and more efficiently than conventional algorithms.

Abstract: The present disclosure describes single agent and combination therapies and uses for the treatment of cancer and/or cancer-associated diseases. The single agent and combinations therapies include a BCMA antibody.

Abstract: Techniques usable in optimization processing are described. A system includes an optimization processing unit (OPU). The OPU includes stochastic computing units and at least one programmable interconnect. Each of the stochastic computing units includes nodes and multiplication unit(s) configured to interconnect at least a portion of the nodes. The programmable interconnect(s) are configured to provide weights for and to selectably couple a portion of the stochastic computing units.

Abstract: Networks of superharmonic injection-locked (SHIL) electronic oscillators can be used to emulate Ising machines for solving difficult computational problems. The oscillators can be simulated or implemented in hardware (e.g., with LC oscillators) and are coupled to each other with links whose connection strengths are weighted according to the problem being solved. The oscillators' phases may be measured with respect to reference signal(s) from one or more reference oscillators, each of which emits a reference signal but does not receive input from any other oscillator. Sparsely connected networks of SHIL oscillators and reference oscillators can be used as Viterbi decoders that do not suffer from the information bottleneck between logic computational blocks and memory in digital computing systems.

Abstract: A method for performing scheduling includes extracting information from at least one log file for an application. The method also includes determining an allocation of cloud resources for the application based on the information from the log file(s).

Abstract: An apparatus for managing vehicle data collection including a remote access execution circuit, a property translation circuit, a parameter acquisition circuit, a remote operation circuit, and a parameter conditioning circuit. The remote access execution circuit interprets a remote access request value including a requested vehicle property and/or a vehicle function value. The property translation circuit determines: a property request value responsive to the requested vehicle property; and/or an actuator command value responsive to the vehicle function value. The parameter acquisition circuit interprets vehicle parameter values responsive to the property request value. The remote operation circuit provides the actuator command value to a vehicle network zone endpoint. The parameter conditioning circuit generates, responsive to the property request value, vehicle property data from the vehicle parameter values. The vehicle property data corresponds to the requested vehicle property.

Abstract: Alloys of GeSbSeTe (GSST) can be used to make actively tunable infrared transmission filters that are small, fast, and solid-state. These filters can be used for hyperspectral imaging, 3D LIDAR, portable bio/chem sensing systems, thermal emission control, and tunable filters. GSST is a low-loss phase-change material that can switch from a low-index (n=3), amorphous state to a high-index (n=4.5), hexagonal state with low loss (k<0.3) over a wavelength range of 2-10 microns or more. The GSST thickness can be selected to provide pure phase modulation, pure amplitude modulation, or coupled phase and amplitude modulation. GSST can be switched thermally in an oven, optically with visible light, or electrically via Joule heating at speeds from kilohertz to Gigahertz. It operates with reversible and polarization independent transmission switching over a wide incident angle (e.g., 0-60 degrees).

Abstract: Provided herein are methods and systems for improved storage strategies for use of collections of storage resources, such as solid state drives, including in connection with a converged networking and storage node that may be used for virtualization of a collection of physically attached and/or network-connected storage resources.

Abstract: A device includes a converged input/output controller that includes a physical target storage media controller, a physical network interface controller and a gateway between the storage media controller and the network interface controller, wherein gateway provides a direct connection for storage traffic and network traffic between the storage media controller and the network interface controller.

Abstract: A device includes a converged input/output controller that includes a physical target storage media controller, a physical network interface controller and a gateway between the storage media controller and the network interface controller, wherein gateway provides a direct connection for storage traffic and network traffic between the storage media controller and the network interface controller.

Abstract: An analog computing system with coupled non-linear oscillators can solve complex combinatorial optimization problems using the weighted Ising model. The system is composed of a fully-connected LC oscillator network with low-cost electronic components and compatible with traditional integrated circuit technologies. Each LC oscillator, or node, in the network can be coupled to each other node in the array with a multiply and accumulate crossbar array or optical interconnects. When implemented with four nodes, the system performs with single-run ground state accuracies of 98% on randomized MAX-CUT problem sets with binary weights and 84% with five-bit weight resolutions. The four-node system can obtain solutions within five oscillator cycles with a time-to-solution that scales directly with oscillator frequency. A scaling analysis suggests that larger coupled oscillator networks may be used to solve computationally intensive problems faster and more efficiently than conventional algorithms.

Abstract: A system including digital oscillators and at least one programmable interconnect is described. The programmable interconnect(s) provide weights for and selectably couples at least a portion of the digital oscillators. The digital oscillators and the programmable interconnect(s) form an optimization processing unit (OPU). A system for performing reversible logic is also described. The system includes digital oscillators coupled to perform a logic operation and an error correction unit coupled to the digital oscillators. The error correction unit is configured to sample states of the digital oscillators, detect error(s) in the states, and tune connection coefficient(s) between the oscillators in response to detecting the error(s).

Abstract: An apparatus for managing vehicle data collection including a policy acquisition circuit, a parameter acquisition circuit, and a parameter storage circuit. The policy acquisition circuit structured to interpret a vehicle policy data value including a requested vehicle property. The parameter acquisition circuit is structured to interpret a plurality of vehicle parameter values from a plurality of providing end points on at least one network zone of a vehicle. The parameter storage circuit is structured to selectively store at least a portion of the plurality of vehicle parameter values, determine a reserved memory amount associated with at least a portion of the plurality of vehicle parameter values by determining an amount of data to be collected to support plurality of vehicle parameter values; and perform the selectively storing the plurality of vehicle parameter values in response to the reserved memory amount.

Abstract: Techniques usable in optimization processing are described. A system includes an optimization processing unit (OPU). The OPU includes stochastic computing units and at least one programmable interconnect. Each of the stochastic computing units includes nodes and multiplication unit(s) configured to interconnect at least a portion of the nodes. The programmable interconnect(s) are configured to provide weights for and to selectably couple a portion of the stochastic computing units.

Abstract: An apparatus for managing vehicle data collection including a remote access execution circuit, a property translation circuit, a parameter acquisition circuit, a remote operation circuit, and a parameter conditioning circuit. The remote access execution circuit interprets a remote access request value including a requested vehicle property and/or a vehicle function value. The property translation circuit determines: a property request value responsive to the requested vehicle property; and/or an actuator command value responsive to the vehicle function value. The parameter acquisition circuit interprets vehicle parameter values responsive to the property request value. The remote operation circuit provides the actuator command value to a vehicle network zone endpoint. The parameter conditioning circuit generates, responsive to the property request value, vehicle property data from the vehicle parameter values. The vehicle property data corresponds to the requested vehicle property.