Dell Products Inc.

Emc IP Holding Company LLC

Gaurav Chawla

William Price Dawkins

Jimmy Doyle Pike

Elie Antoun Jreij

Robert Wayne Hormuth

Mark Steven Sanders

Mukund Purshottam Khatri

Walter A O'Brien, Iii

John S Harwood

Hendrich M Hernandez

Jacob Cherian

Robert L Winter

Saikrishna M Kotha

Douglas L Farley

Yossef Saad

Ali Aiouaz

Leland W Thompson

Shyamkumar Thiyagarajan Iyer

Robert Anthony Lincourt, Jr

John T Cardente

Yuan-Chang Lo

Tommi Salli

Stephen J Todd

Sumedh Wasudeo Sathaye

Lee Eric Ballard

Rajesh Narayanan

Shyam T Iyer

Lazarus J Vekiarides

Aurelian Dumitru

Michael Karl Molloy

Susan Elizabeth Young

James Ulery

Edward Henry

Stuart Allen Berke

Joseph LaSalle White

Farzad Khosrowpour

Jason Alan Shepherd

Andrew Butcher

Rohit K Chawla

Stephen Gouze Luning

Fahd Pirzada

Bruce Anthony Holmes

Srinivas Giri Raju Gowda

Duk Moon Kim

Geoffrey A Reid

Dean Williams Peters

Krishna Ramaswamy

Jean-Pierre Bono

Sudhir Vittal Shetty

David Lionel Black

Doron Tal

Rabah S Hamdi

Maunish A Shah

Syama Poluri

Charles Terrence Perusse, Jr

Robert Talbott Stevens, Iv

Srikrishna Ramaswamy

Mahmoud B Ahmadian

Judith A Furlong

Kirk Frey

Glen Sescila

Qi Bao

Boris Glimcher

Drue Reeves

Amnon Izhar

Ethan A Kaley

Travis Vigil

Anna Groves

John S Hardwood

Praveen Vishakantaiah

Waseem Ali Raja

Eugene E Ruth

Jason Cherian

Iii Walter A O'BRIEN

Nelson Mak

A shared memory fabric workload performance system includes a resource orchestrator device coupled to processing systems and memory systems that are configured to provide a shared memory fabric to each of the processing systems. The resource orchestrator device receives a request to perform a workload, identifies functions for performing the workload, and generates a DAG that identifies a respective processing resource type and a respective memory requirement for performing each of the functions. For each of the functions, the resource orchestrator device determines a respective processing resource provided by the processing systems that includes the processing resource type identified in the DAG for performing that function, and a respective memory resource provided by the memory systems that is accessible to that respective processing resource, and maps that respective memory resource to that respective processing resource based on the memory requirement identified in the DAG for performing that function.

Shared memory fabric workload performance system

A Logically Composed System (LCS) workload in-band service management system includes a service management subsystem coupled to a workload that is provided using a Logically Composed System (LCS), and a System Control Processor (SCP) device. The service management subsystem determines a plurality of services that are either provided by or available via the SCP device for use by the LCS, and presents a service library to the workload that identifies the plurality of services. If the service management subsystem receives a first service request from the workload for a first service that is included in the plurality of service identified in the service library, it provides a first service provisioning request to the SCP device that is configured to cause the SCP device to provide the first service to the LCS for utilization by the workload.

LCS workload in-band service management system

A data transformation/processing system includes a data transformation/processing management device coupled to a client device, processing systems, memory systems, and storage systems. The data transformation/processing management device receives a request from the client device to process first data to generate second data, determines a first subset of the processing systems for performing processing operations to process the first data, and identifies a data path for the processing operations that includes storage locations provided by subsets of the memory systems and the storage systems. The data transformation/processing management device then determines a second subset of the processing systems in the data path for performing transformation operations to transform the first data for processing and storage in the storage locations, and configures the first subset of the processing systems to perform the processing operations and the second subset of the processing systems to perform the transformation operations.

Data processing path data transformation system

A resource-capability-and-connectivity-based workload performance improvement system includes a resource management device coupled to processing systems and memory systems. The resource management device receives a request to perform a first workload, identifies a DAG that includes functions for performing the first workload, and uses first parameters in the DAG to configure the processing systems and the memory subsystems to perform the functions. Based on performance of the functions, the resource management device determines function modification(s) for at least one of the functions and, based on the function modification(s), modifies the first parameters included in the DAG to provide modified parameters. When the resource management device receives a request to perform a second workload, it identifies the DAG that includes the functions for performing the second workload, and uses the modified parameters in the DAG to configure the processing systems and the memory subsystems to perform the functions.

Resource-capability-and-connectivity-based workload performance improvement system

Techniques described herein relate to a method for managing telemetry services for composed information handling systems. The method includes obtaining, by a system control processor manager, a telemetry request associated with a composed information handling system from a user; in response to obtaining the telemetry request: identifying a transaction identifier associated with the telemetry request; identifying telemetry intent associated with the telemetry request; aggregating telemetry data based on the telemetry intent and a telemetry data map entry associated with the transaction identifier to obtain aggregated telemetry data; and providing the aggregated telemetry data to the user.

Method and system for managing telemetry services for composed information handling systems

A method for performing vector similarity search (VSS) includes: performing, based on a set of thresholds, a sparse partitioning of n-dimensional hyperspace into a plurality of grid bins to generate a hyperspace partition map, in which (i) only grid bins to which vectors mapped to are managed by the hyperspace partition map and (ii) each grid bin of the plurality of grid bins points to a storage location in a storage; ingesting a vector; using the hyperspace partition map to identify a grid bin of the plurality of grid bins for the vector and to identify coordinates of the grid bin; mapping the vector to the grid bin; and hashing the coordinates to generate a storage location key associated with a second storage location, in which the vector is stored to the second storage location using the storage location key.

Method and system for hyperspace sparse partition vector similarity search

A method for generating a domain topology for a system, the method that includes accessing a functional model database, identifying, in a computing resource database, a configuration of components matching a functional model in the functional model database, generating a domain for the configuration of components, in a domain topology, and generating a graphical hierarchy of the domain topology and providing it to a user.

Systems and methods for identifying and organizing device capabilities into graphical hierarchies

Methods and systems for managing data access based threats are disclosed. To manage the data access based threats, a data processing system may include a network interface controller (NIC). The network interface controller may present emulated storages that may be used for data storage. The emulated storage devices may utilize storage resources of storage devices. The NIC may actively screen for access patterns in use of the emulated storage devices that indicate compute complexes may be compromised. When doing so, the processing may be done locally on the NIC.

System and method for threat detection through data storage analysis

An information handling system may include a processor; a network interface; and a physical storage resource having data stored thereon that is usable by a virtual resource that is executable on the processor. The network interface may accelerate migration of the data to a destination system by, in response to a command from a virtual machine manager: offloading, from the processor, a copying process configured to copy the data to the destination system; tracking portions of the data that are changed by the virtual resource during the copying process; notifying the virtual machine manager that a designated checkpoint has been reached in the copying process; causing the virtual resource to pause; completing the copying process; and causing the virtual resource to resume and use the copied data at the destination instead of the data on the physical storage resource.

Migration of virtual computing storage resources using smart network interface controller acceleration

An autonomous compute storage device system includes an autonomous compute storage device signature/application provisioning system coupled to a storage device. The storage device retrieves an autonomous compute signature from the autonomous compute storage device signature/application provisioning system and, as part of a storage operation being performed in a storage subsystem in the storage device, stores data in a memory subsystem that is accessible to the storage device. If the storage device determines that the autonomous compute signature matches the data that was stored in the memory subsystem, it retrieves an autonomous compute application from the autonomous compute storage device signature/application provisioning system, and executes the autonomous compute application to perform compute operations that are associated with the data that was stored in the memory subsystem and generate at least one compute operation result.

Autonomous compute storage device signature/application system

Techniques described herein relate to a method for performing state management services for composed information handling systems. The method includes making a determination that an at least one control resource set is not associated with a distributed state storage system; and in response to the determination: identifying additional computing resources to instantiate a distributed state storage system; instantiating the distributed state storage system using the additional computing resources; registering the at least one control resource set with the distributed state storage system; and preparing the at least one control resource set to perform at state management services using the distributed state storage system.

Method and system for performing state management services for composed information handling systems

A method for providing bare-metal (BMS) resources includes receiving, by a system control processor, a partitioning request from a system control processor manager that specify a quantity of physical partitions, in response to the partitioning request: identifying a set of physical partitions of a bare-metal system (BMS) that are capable of servicing the partitioning request based on the quantity of physical partitions, updating a partitioning configuration data structure based on the set of physical partitions and the virtual partition, and implementing the virtual partition based on the set of resources using the partitioning configuration data structure.

System and method for a system control processor-controlled partitioning of bare-metal system resources

A Logically Composed System (LCS) resource policy enforcement system includes resource devices coupled to an LCS provisioning administrator device, a client system, and an orchestrator device coupled to the resource devices and the client system. The orchestrator device uses a first subset of the resource devices to provide an LCS to the client system based on a workload intent provided by the client system, associates the LCS with a client identifier for the client system, and tags each of the first subset of the resource devices being used to provide the LCS with the client identifier. The orchestrator device then identifies a LCS policy for the LCS and applies the LCS policy to each of the first subset of the resource devices tagged with the client identifier to cause the LCS policy to be enforced on the client system and the LCS provisioning administrator device.

LCS resource policy enforcement system

An autonomous compute storage device system includes a computing device and a storage device that is coupled to the computing device. The storage device identifies a storage operation for a storage subsystem that is included in the storage device and, in response, performs the storage operation and stores data in a memory subsystem that is accessible to the storage device as part of the performance of the storage operation. If the storage device determines that an autonomous compute signature matches the data that was stored in the memory subsystem, it executes an autonomous compute application to perform compute operations that are associated with the data that was stored in the memory subsystem and generate at least one compute operation result.

Autonomous compute storage device system

Techniques described herein relate to a method for performing computational offloads for composed information handling systems. The method includes obtaining, by a system control processor associated with a composed information handling system, a computational offload request associated with a dataset from an application executing on an at least one compute resource set; in response to obtaining the computational offload request: identifying a dataset location associated with the dataset in the composed information handling system; identifying resources of the composed information handling system capable of performing the computational offload request; selecting a resource of the resources to perform the computational offload; and initiating performance of the computational offload request on the selected resource.

Computational offloads for composed information handling systems

Growing community of inventors

Austin, TX, United States of America

Gaurav Chawla