Liqid Inc.

Carrier Access Corporation

Other

Altera Corporation

Assurance Software and Hardware Solutions, LLC

Phillip D Clark

James Scott Cannata

Sumit Puri

Bryan Schramm

Roger L Koenig

Thomas E Bullington

Bryan Nagel

Christopher R Long

Henry Lee Harris

Jason Breakstone

S Christopher Alaimo

Matthew D Morris

Huiji Wang

Kenneth C Grobaski

Michael A Trofi

Kirkton I Shoop

Robert T Weverka

Edward J Bortolini

Craig Steven Cambier

Bharat S Shah

Kenneth M Stevens

Richard W Urie

Susan I English

Mark Millican

Samuel Burk Siewert

Marshall McMullen

Lars E Boehnke

Deployment of arrangements of computing components coupled over a communication fabric are presented herein. In one example, a method includes detecting first computing components communicatively coupled to a first communication fabric having a first communication fabric type, and detecting second computing components communicatively coupled to a second communication fabric having a second communication fabric type. The method also includes receiving user commands to form compute units among a pool of computing components comprising the first computing components and the second computing components. Based at least on the user commands, the method includes forming the compute units for use by one or more users.

Multi-protocol communication fabric control

Deployment of arrangements of computing components coupled over communication fabrics are presented herein. In one example, a method includes forming a compute unit to include at least a selected disaggregated computing component and at least a selected converged computing element. The selected disaggregated computing component is added to the compute unit from a pool of disaggregated computing components having a granularity comprising the disaggregated computing components arbitrarily and separately coupled to a communication fabric. The selected converged computing element is added to the compute unit from a pool of converged computing elements having a granularity comprising sets of computing components with fixed relationships to associated processors.

Formation of compute units from converged and disaggregated component pools

A method of programming a fabric-coupled FPGA device includes instructing a communication fabric to establish a first logical partition segregating a first set of communication switch ports within the communication fabric that includes the management processor and a target device comprising a memory device configured to program a field-programmable gate array (FPGA). The method includes directing configuration data configured to program the FPGA to the target device over the first logical partition. The method includes instructing the communication fabric to remove the first logical partition in the communication fabric, wherein the configuration data remains stored at the target device after removal of the first logical partition. The method includes instructing the communication fabric to establish a second logical partition segregating a second set of communication switch ports within the communication fabric that includes a selected device and the target device that stores the configuration data.

Programmable logic device configuration over communication fabrics

Deployment of arrangements of physical computing components coupled over a communication fabric are presented herein. In one example, a method includes presenting, to a workload manager, a target machine capable of receiving execution jobs from the workload manager. The target machine has a network state and comprises a selection of computing components. The method also includes receiving a job issued by the workload manager that is directed to the target machine. Based on properties of the job, the method includes determining resource requirements for handling the job, forming a composed machine comprising physical computing components that support the resource requirements of the job, transferring the network state of the target machine to the composed machine and indicating the network state of the composed machine to the workload manager, and initiating execution of the job on the composed machine.

Job target aliasing in disaggregated computing systems

Machine templates are described herein that provide for configuration and deployment of arrangements of physical computing components coupled over a communication fabric. A method includes presenting a user interface having indications of computing component types includable in a new template specifying at least an arrangement of physical computing components for inclusion in compute units. The method includes receiving selections made by a user for inclusion of selected physical computing component types within the new template, and determining properties of the selections to generalize an arrangement of the selected physical computing component types into a specification for the new template. The method includes storing the specification of the new template for subsequent usage in creation of a target compute unit based at least on the arrangement indicated by the new template.

Machine templates for compute units

Disaggregated computing architectures, platforms, and systems are provided herein. In one example, a method includes instructing a communication fabric to establish a first logical partition in the communication fabric that includes a first processing device and a memory device, and directing transfer of configuration data for storage by the memory device over the first logical partition. After transfer of the configuration data, the method includes instructing the communication fabric to remove the first logical partition in the communication fabric, where the configuration data remains stored by the memory device after removal of the first logical partition. The method also includes instructing the communication fabric to establish a second logical partition in the communication fabric that includes at least a second processing device and the memory device comprising the configuration data, where the second processing device is operated using the configuration data.

Memory device instantiation onto communication fabrics

Composed computing systems with converged and disaggregated component pool

Disaggregated computing architectures, platforms, and systems are provided herein. In one example, a method of operating a data processing system is provided. The method includes instructing a PCIe fabric communicatively coupling a plurality of physical computing components including PCIe devices and one or more PCIe switches to establish a first PCIe communication path between the management processor and a target PCIe device. The method also includes directing at least configuration data to the target PCIe device using the first PCIe communication path and instructing the PCIe fabric to remove the first PCIe communication path between the management processor and the target PCIe device. The method also includes instructing the PCIe fabric to establish a second PCIe communication path between a selected PCIe device and the target PCIe device configured according to the configuration data.

Specialized device instantiation onto PCIe fabrics

Deployment of arrangements of physical computing components coupled over a communication fabric are presented herein. In one example, a method includes detecting disaggregated computing components communicatively coupled to at least a first communication fabric, and detecting converged computing components communicatively coupled to a second communication fabric. The method includes forming a free pool of computing components comprising the disaggregated computing components and the converged computing components, and receiving user commands to form compute units from among computing components included in the free pool of computing components. Based at least on the user commands, the method includes forming the compute units for use by one or more users.

Machine templates are described herein that provide for enhanced configuration and deployment of arrangements of physical computing components coupled over a communication fabric. In one example, a method includes presenting a user interface indicating a plurality of templates each specifying at least a predefined arrangement of physical computing components for inclusion in compute units, and receiving a user selection indicating a selected template among the plurality of templates to form a target compute unit. The method includes allocating to the target compute unit a set of physical computing components according to the selected template, and instructing a management entity to establish the target compute unit based at least on logical partitioning within a communication fabric communicatively coupling the set of physical computing components of the target compute unit.

Machine templates for predetermined compute units

Systems, methods, apparatuses, and architectures for storage interposers are provided herein. In one example, an apparatus includes a host connector configured to couple to one or more host systems over associated host Peripheral Component Interconnect Express (PCIe) interfaces, and PCIe switch circuitry configured to receive storage operations over the host connector that are issued by the one or more host systems. The PCIe switch circuitry is configured to monitor when ones of the storage operations correspond to an address range and responsively indicate the ones of the storage operations to a control module. The control module is configured to selectively direct delivery of the ones of the storage operations to corresponding storage areas among one or more storage devices based at least on addressing information monitored for the ones of the storage operations in the PCIe switch circuitry.

Storage control interposers in data storage systems

Systems, methods, apparatuses, and software for data storage systems are provided herein. In one example, a data storage apparatus includes a processor configured to assign service levels in a queue for handling storage operations directed to one or more data storage drives. The processor can pre-allocate resources in the queue for selected ones of the service levels before ones of the storage operations associated with the selected ones of the service levels are received by the processor. The processor receives the storage operations, and based at least on the service levels, services the storage operations from the queue with the one or more data storage drives.

Front-end quality of service differentiation in data systems

Systems, methods, apparatuses, and architectures for storage interposers are provided herein. In one example, a storage interposer module includes Peripheral Component Interconnect Express (PCIe) switch circuitry receives storage operations over a host connector that are issued by one or more host systems and transfers the storage operations for storage by one or more storage devices over drive PCIe interfaces. The storage interposer module also includes a control module configured to monitor the storage operations in the PCIe switch circuitry via a control interface coupled between the PCIe switch circuitry and the interposer control module, and selectively direct delivery of each of the storage operations to corresponding storage areas among the one or more storage devices based at least on information monitored about the storage operations in the PCIe switch circuitry.

Multi-port interposer architectures in data storage systems

Systems, methods, apparatuses, and software for data storage systems are provided herein. In one example, a data storage system is provided that includes processing systems configured to receive storage operations for storage drives coupled over a communication fabric. The data storage system includes a control processor configured to establish a timer synchronization signal and distribute the timer synchronization signal to the processing systems. Each of the processing systems is configured to assign timestamps to received storage operations based on a timestamp counter synchronized among the processing systems using the timer synchronization signal. The processing systems are configured to order committing of the storage operations to the storage drives based at least on the timestamps associated with the storage operations.

Growing community of inventors

Boulder, CO, United States of America

Phillip D Clark