Sambanova Systems, Inc.

Amazon Technologies, Inc.

Anand Misra

Ravinder Kumar

Arnav Goel

Raghunath Shenbagam

Conrad Alexander Turlik

Qi Zheng

Pushkar Shridhar Nandkar

Ranen Chatterjee

Ananda Reddy Vayyala

Prashant Singh

Roey Rivnay

Vijay Patel

Maran Wilson

Milad Sharif

Joshua Earle Polzin

Arjun Sabnis

Sudhakar Dindukurti

Steven Dai

Sruthi Veeragandham

Jim Lewis

Anand Vayyala

Benjamin Glick

Raghu Shenbagam

Shivam Raikundalia

A data processing system comprises a pool of reconfigurable data flow resources and a runtime processor. The pool of reconfigurable data flow resources includes arrays of physical configurable units and memory. The runtime processor includes logic to receive a plurality of configuration files for user applications. The configuration files include configurations of virtual data flow resources required to execute the user applications. The runtime processor also includes logic to allocate physical configurable units and memory in the pool of reconfigurable data flow resources to the virtual data flow resources and load the configuration files to the allocated physical configurable units. The runtime processor further includes logic to execute the user applications using the allocated physical configurable units and memory.

Runtime virtualization of reconfigurable data flow resources

A fault management system (FMS) receives events indicating an issue with a component in the system and determines, based on an inventory database, the component associated with the events. The FMS creates, based at least in part on the events, an error report that includes: (i) an error type identifying a type of error described in the error report, (ii) a timestamp indicating when the error report was created, and (iii) a universal unique identifier (UUID) to uniquely identify the error report. The FMS determines, based at least in part on the error report, a policy associated with the events and classifies the events, based at least in part on the policy, as either a threshold event or a discrete event. The FMS performs one or more actions to address the events.

Fault management in a reconfigurable dataflow architecture

A system is presented that includes two data processing systems that are coupled via a network, each data processing system including a reconfigurable processor with a reconfigurable processor memory, a host that is coupled to the reconfigurable processor and that includes a host processor and a host memory that is coupled to the host processor, and a network interface controller (NIC) that is operatively coupled to the reconfigurable processor and to the host processor. The reconfigurable processor of one of the data processing systems is configured to implement a virtual function that uses a virtual address for a memory access operation. An application programming interface (API) in the host processor translates the virtual address into a physical address, and the NIC uses the physical address to initiate a direct memory access operation at the reconfigurable processor memory or the host memory of the other data processing system.

Direct access to reconfigurable processor memory

A method for executing applications in a system comprising general hardware and reconfigurable hardware includes accessing a first execution file comprising metadata storing a first priority indicator associated with a first application, and a second execution file comprising metadata storing a second priority indicator associated with a second application. In an example, use of the reconfigurable hardware is interleaved between the first application and the second application, and the interleaving is scheduled to take into account (i) workload of the reconfigurable hardware and (ii) the first priority indicator and the second priority indicator associated with the first application and the second application, respectively. In an example, when the reconfigurable hardware is used by one of the first and second applications, the general hardware is used by another of the first and second applications.

Time-multiplexed use of reconfigurable hardware

A data processing system comprises a pool of reconfigurable data flow resources with arrays of physical configurable units, a controller, and a runtime processor. The controller is configured to generate a hot-plug event in response to detecting a removal of an unallocated array of physical configurable units from the pool of reconfigurable data flow resources. The runtime processor is configured to execute user applications on a subset of the arrays of physical configurable units and to receive the hot-plug event from the controller. The runtime processor is further configured to make the removed unallocated array of physical configurable units unavailable for subsequent allocations of subsequent virtual data flow resources and subsequent executions of subsequent user applications, while the subset of the arrays of physical configurable units continues the execution of the user applications.

Hot-plug events in a pool of reconfigurable data flow resources

Power systems and methods for supplying direct current power to a server rack via a power shelf assembly that includes multiple power supply units (PSUs) and a power shelf controller (PSC) that ensures a correct configuration of PSUs, backup battery units (BBUs), and connection components using a power shelf configuration record. Upon a boot cycle of the PSC, the configuration identified in the power shelf controller is compared to an actual configuration of the components being connected between a server rack and the power shelf assembly to avoid providing power too soon and causing an overload of components for the server rack.

Power control based on power controller configuration records

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Fremont, CA, United States of America

Anand Misra