Dell Products Inc.

Chatsworth Products, Inc.

Travis Christian North

Austin Michael Shelnutt

Qinghong He

John Trevor Morrison

Christopher Michael Helberg

Deeder M Aurongzeb

Jace William Files

Andrew Thomas Sultenfuss

Daniel Lawrence Hamlin

Suraj M Varma

Mark Andrew Schwager

Mitchell Anthony Markow

Chris M Helberg

Edmond Ira Bailey

Steven Embleton

James Don Curlee

Philip Joseph Grossmann

Joohyun Woo

Srinivas Kamepalli

Thomas Alexander Shows

Michael James Pescetto

Jacob Vick

Richard Christopher Thompson

Balasingh Ponraj Samuel

Pomin Shih

Kevin Brian Locke

Andrew Olen Ingalls

Nikhil Manohar Vichare

Lawrence Edward Knepper

David Michael Meyers

Enoch Chen

Eric Sendelbach

Timothy Carlyle Shaw

Suresh K Ramasamy

Geroncio Ong Tan

Shawn Paul Hoss

Charles D Hood

Allen Brian McKittrick

Yongook Guack

Robert D Hrehor, Jr

Karunakar Palicherla Reddy

Chin-An Huang

Jorge Antonio Abullarade

Samuel Rodriguez

Kyle D Spiess

Claire H Hsu

Steven Bornfield

Adolfo Sandor Montero

Gerald Rene Pelissier

Brian Hargrove Leonard

Laurent Andrew Regimbal

Tyler B Duncan

Arnold Thomas Schnell

Merle Wood, Iii

Farzad Khosrowpour

Christopher A Torres

Priyank Gajiwala

Michiel Knoppert

Weijong Sheu

William J Morris

Douglas Jarrett Peeler

Keith James Kasprzak

Salvador D Jimenez, Iii

Terry Lane Matula

Kai-Yuan Cheng

Mitch Anthony Markow

Bradley Jackson

Edward Douglas Knapton

Rick Christopher Thompson

Jong Seo Lee

Yu-Feng Huang

Chiu Jung Tsen

Jacob Vincent Mink

Jason Tait Franz

Flaviu Cristian Chis

Ray Vivian Kacelenga

Rene Jason Salas

Jay Matthew Zill

Tifenn M Boisard

Kevin M Bailey

Duen Hsing Hsieh

Kan Lip Vui

Claire Hao Wen Hsu

Yuan David Ma

Todd Delton Grabbe

Srinivasan R Kadathur

James Bryan

Gabriel Higham

Yi-Te Chih

Alex Shows

Robert E Freehill

Carlos Humberto Granja

Tse An Chu

Kelly Miller

Susan McCartt

Manasi Tamhankar

John Olsen

Matt Tavasoli

Systems and methods for sustained power limit control in heterogenous computing platforms are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include: a heterogeneous computing platform comprising a plurality of devices; and a memory coupled to the heterogeneous computing platform, where the memory includes firmware instructions that, upon execution by at least one of the plurality of devices, causes the at least one device to operate as an orchestrator configured to: compare a current power level used by a selected device against a sustained power limit; and in response to a determination that the current power level exceeds the sustained power limit, control the selected device to reduce the current power level.

Sustained power limit control in heterogeneous computing platforms

An information handling system includes a powered hardware processor and a memory device. The information handling system includes an ion emitter/collector blower cooling system including an ion emitter/collector blower having an ion emitter and an ion collector, the ion emitter/collector blower being operatively coupled to a fan and located between the fan and an exhaust vent formed in a top edge of the chassis of the information handling system. An ionic driving circuit is operatively coupled to the ion emitter via a high voltage to ionize gases at the ion emitter/collector blower to create charged ions that generate an airflow to and through the ion collector. The information handling system also includes an air intake vent located at the fan in the chassis so that the airflow is brought into the chassis via the fan, through the fan and ion emitter/collector blower, and out of the air exhaust vent.

Method and apparatus for a mobile information handling system with an ion drag blower integrated with a fan for enhanced convection airflow

An information handling system (IHS) includes a hardware processor, memory device, and a power management unit (PMU) to provide power to the processor and memory device. The IHS further includes a fan and fan motor operatively coupled to a motor driver hardware operated by the hardware processor and an ion emitter/collector blower cooling system including an ion emitter/collector blower, the ion emitter/collector blower including an ion emitter and an ion collector placed in fluidic series with the fan and an ionic driving circuit operatively coupled to the ion emitter via a high voltage to ionize gases at the ion emitter/collector blower to create charged ions that generate an airflow along a voltage field to and through the ion collector. The IHS further includes a hardware embedded controller to execute code instructions of a self-driving cooling system reinforcement learning agent of an ion emitter/controller blower and fan control system, the execution of the self-driving cooling system reinforcement learning agent to adjust and initiate operation of the ion emitter/collector blower and fan based on metrics including operating characteristics of the information handling system from user workload, and based on operational states of the information handling system as determined in a learned policy to operate the ion emitter/collector blower and fan.

Method and apparatus for a self driving silent cooling control system

Systems and methods for managing thermal operations in heterogenous computing platforms of IHSs (Information Handling Systems) are described. In an illustrative, non-limiting embodiment, a heterogeneous computing platform includes devices and a memory storing firmware instructions. Based on execution of these firmware instructions by a respective device, a corresponding firmware service is provided such that one of the devices operates as an orchestrator. The orchestrator receives reports of changes in context of operation of the IHS by a user and determines one or more thermal settings that are mapped to the reported user context, where the thermal settings configure thermal operations by the IHS. The orchestrator configures thermal operations by the IHS based on the thermal settings, where the configured thermal operations are utilized until additional reports of changes in user context are received by the orchestrator.

Systems and methods for adaptive thermal configurations in a heterogeneous computing platform

Systems and methods for managing performance in heterogenous computing platforms of IHSs (Information Handling Systems) are described. In an illustrative, non-limiting embodiment, a heterogeneous computing platform includes devices and a memory storing firmware instructions. Based on execution of these firmware instructions by a respective device, a corresponding firmware service is provided such that one of the devices operates as an orchestrator. The orchestrator receives reports of changes in context of operation of the IHS by a user and determines a power allocation that is mapped to the reported user context, where the mapping allocates available power to the plurality of devices of the heterogeneous computing platform. The orchestrator configures the power that available for use by one or more of the plurality of devices of the heterogeneous computing platform, and thus adjusts the performance of the IHS in response to the change in user context.

Systems and methods for adaptive power allocations in a heterogeneous computing platform

A member may include a flexible material with thickness significantly smaller than that of other dimensions of the flexible material and at least one localized structure patterned within the flexible material, the at least one localized structure having a negative Poisson's ratio, such that when the member is mechanically coupled to a second structure using mechanical stress, the member conforms to features of the second structure.

Systems and methods for employing for forming and patterning flexible material

An information handling system may include a processor and a program of instructions embodied in non-transitory computer-readable media, the program of instructions configured to, when read and executed by the processor: determine if an application-related event associated with an executable application has occurred; based on one or more performance profiles, wherein each of the one or more performance profiles are associated with a respective executable application, select an executing application having a highest rank as a selected application; and communicate a selected performance profile associated with the selected application to a management device of the information handling system to cause the management device to apply a temperature limit and an acoustic limit associated with the selected performance profile to the performance of the information handling system.

Systems and methods for estimating information handling system performance capacity based on temperature and acoustic parameters

Systems and methods for thermal zone controls based on User-Selectable Thermal Table (USTT) presets in heterogenous computing platforms are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a heterogeneous computing platform having a plurality of devices and a memory coupled to the heterogeneous computing platform, where the memory includes firmware instructions that, upon execution by at least one of the plurality of devices, causes the at least one device to operate as an orchestrator configured to: detect a change to a USTT table; and, in response to the detection, modify an Advanced Configuration and Power Interface (ACPI) thermal zone setting.

Thermal zone controls based on user-selectable thermal table (USTT) presets in heterogeneous computing platforms

An information handling system may include a processor and a program of instructions embodied in non-transitory computer-readable media, the program of instructions configured to, when read and executed by the processor: receive a touch temperature limit parameter indicative of a temperature limit; receive an acoustic noise limit parameter indicative of an acoustic noise limit; determine an estimated power capacity limit parameter indicative of an estimated power limit based on the touch temperature limit parameter and the acoustic noise limit parameter; and determine an estimated performance capability parameter based on the estimated power capacity limit parameter.

A dual fan system includes a first fan that produces a first airflow, and a second fan that produces a second airflow. An air duct includes first and second nozzles, and first and second channels. The first channel directs the first airflow into an area between the first and second nozzles. The second channel directs the second airflow into the area between the first and second nozzles. The first and second airflows combine in the second nozzle to create an output airflow.

Dual fan with increased air flow

An information handling system with a cooling system may include a processor, a memory; a power management unit (PMU) operatively coupled to the processor; a cooling fan operatively coupled to the processor to draw air into and direct air out of a base chassis of the information handling system, the cooling fan including a fan housing; and a radio module operatively coupled to the fan housing to be cooled by conduction to the fan housing and operation of the fan via convective cooling.

System and method for a radio module on premise of a cooling fan

Systems and methods for managing processors of a heterogenous computing platforms of IHS (Information Handling Systems) are described. In an illustrative, non-limiting embodiment, a heterogeneous computing platform includes devices and a memory storing firmware instructions. Based on execution of these firmware instructions by a respective device, a corresponding firmware service is provided such that one of the devices operates as an orchestrator. The orchestrator receives reports of changes in a context of operation of the IHS by a user and. Based on the context, the orchestrator determines power allocations for the two or more discrete processors, where the power allocations are mapped to the reported user context. The orchestrator configures the power that is available for use by each of the two or more discrete processors of the heterogeneous computing platform, and thus adjusts the performance of the processors in response to the change in user context.

Systems and methods for adaptive management of processors of a heterogeneous computing platform

An information handling system having a display magnetically couples a peripheral camera to the display with a ferromagnetic material disposed behind the display and a magnet included in the camera housing. A metallic inner frame couples a camera assembly at one end of a cylindrical housing and the magnet is at an opposing end. A thermal spreader of thermally conductive material has at tapered conical shape with substantially two degrees of taper before assembly into the cylindrical housing. Insertion of the tapered thermal spreader compress the larger circumference to press the thermal spreader uniformly out and against an inner surface of the cylindrical housing.

Portable information handling system peripheral camera with tapered thermal spreader

A thermal management apparatus, including: a blower, including: an impeller configured to direct airflow towards an egress; a base; and a cover, wherein the cover is coupled to the base to encase the impeller; a fin-stack configured to receive the airflow and transfer heat from the airflow, including: a plate having a perimeter; internal fins coupled to the plate and contained within the perimeter of the plate; and external fins extending external to the perimeter of the plate, wherein the fin-stack is coupled to the blower such that the external fins are positioned between the base and the cover, the external fins configured to distribute the airflow across the egress and the internal fins of the fin-stack.

Thermal management apparatus for an information handling system

Systems and methods for peak power limit control in heterogenous computing platforms are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a heterogeneous computing platform having a plurality of devices and a memory coupled to the heterogeneous computing platform, where the memory comprises firmware instructions that, upon execution by at least one of the plurality of devices, causes the at least one device to operate as an orchestrator configured to: in response to a determination that a current power level used by a selected device exceeds a peak power limit, restrict an amount of power used by the selected device; in response to detection of a peripheral device coupled to the IHS, reduce the peak power limit; and in response to a determination that the current power level exceeds the reduced peak power limit, further restrict the amount of power used by the selected device.

Peak power limit control in heterogeneous computing platforms

Growing community of inventors

Cedar Park, TX, United States of America

Travis Christian North