Intel Corporation

Digital Equipment Corporation

Hewlett-packard Development Company, L.p.

Compaq Computer Corporation, Inc.

Other

Compaq Information Technologies Group, L.p.

Matthew James Adiletta

Francesc Guim Bernat

Gilbert M Wolrich

William Ralph Wheeler

Myles Wilde

Donald F Hooper

Michael F Fallon

Amit Kumar

Hugh Wilkinson

Chengda Yang

Robert C Rose

Valerie J Young

Paul H Dormitzer

Yadong Li

James D Guilford

Kapil Sood

Aaron Gorius

Michael T Crocker

Bradley A Burres

Duane E Galbi

Thomas E Willis

Jose Niell

Patrick L Connor

Mark A Schmisseur

Andrew J Herdrich

Debra Bernstein

Daniel Cutter

Mark B Rosenbluth

Scott P Dubal

Sridhar Lakshmanamurthy

Russell S Aoki

Alexander Bachmutsky

Michael Kauschke

Lidia Warnes

Mrittika Ganguli

Sanjeev Jain

Durgesh Srivastava

Bassam N Coury

Gary S Muntz

Subramania Sudharsanan

James Robert Hearn

Christopher Dolan

Hugh M Wilkinson, Iii

Samuel William Ho

Jeffrey G Fedders

Robert J Kushlis

King-Wai Chow

Douglas Carrigan

John Cyr

James Redfield

Jonathan W Thibado

Stephen C Root

John C Gulick

Emery E Frey

Timothy J Fennell

Thomas R Clancy

Samuel Ho

Salma Mirza

William Duggan

Stewart N Taylor

Johan G Van De Groenendaal

Miriam Qunell

Brad Burres

Christopher F Clark

Stephanie L Hirnak

Larry L Biro

Kevin Bradley Citterelle

Yuh-Lin E Chang

Bapi Vinnakota

Bijoy Bose

Michael Ho

Virginia C Lamere

Niall Mcdonnell

Jeff Fedders

Thomas M Garrison

Dave Hillyard

Matthew Howard Reilly

Joe Carvalho

Jeen-Xuan Miin

Jason Garratt

Ernest Kaempfer

Timothy J Fennel

Douglass Carrigan

Chandra Vora

Ranghu Kondapalli

Partick Connor

Thomas Garrison

Examples described herein relate to memory thin provisioning in a memory pool of one or more dual in-line memory modules or memory devices. At any instance, any central processing unit (CPU) can request and receive a full virtual allocation of memory in an amount that exceeds the physical memory attached to the CPU (near memory). A remote pool of additional memory can be dynamically utilized to fill the gap between allocated memory and near memory. This remote pool is shared between multiple CPUs, with dynamic assignment and address re-mapping provided for the remote pool. To improve performance, the near memory can be operated as a cache of the pool memory. Inclusive or exclusive content storage configurations can be applied. An inclusive cache configuration can include an entry in a near memory cache also being stored in a memory pool whereas an exclusive cache configuration can provide an entry in either a near memory cache or in a memory pool but not both. Near memory cache management includes current data location tracking, access counting and other caching heuristics, eviction of data from near memory cache to pool memory and movement of data from pool memory to memory cache.

Memory thin provisioning using memory pools

Examples described herein relate to an apparatus that includes a flexible conductor covered in an insulative material and at least one conductor region in contact with the flexible conductor. In some examples, melting of the at least one conductor region is to cause a conductive coupling of the flexible conductor with a second conductor and wherein the flexible conductor is adapted to conductively couple a first circuit board oriented orthogonal to a second circuit board. In some examples, the at least one conductor region comprises at least one solder ball of a grid array. In some examples, the at least one conductor region is re-solderable.

Removable and low insertion force connector system

Examples described herein relate to an apparatus that includes at least two processing units and a memory hub coupled to the at least two processing units. In some examples, the memory hub includes a home agent. In some examples, the memory hub is to perform a memory access request involving a memory device, a first processing unit among the at least two processing units is to send the memory access request to the memory hub. In some examples, the first processing unit is to offload at least some but not all home agent operations to the home agent of the memory hub. In some examples, the first processing unit comprises a second home agent and wherein the second home agent is to perform the at least some but not all home agent operations before the offload of at least some but not all home agent operations to the home agent of the memory hub. In some examples, based on provision of the at least some but not all home agent operations to be performed by the second home agent, the second home agent is to perform the at least some but not all home agent operations.

Memory hub providing cache coherency protocol system method for multiple processor sockets comprising multiple XPUs

An apparatus is described. The apparatus includes a memory controller having logic circuitry to write a unit of write data into a plurality of memory chips according to a striping pattern that includes multiple protected sub words, each protected sub word including a smaller portion of the unit of write data and error correction coding (ECC) information calculated from the smaller portion of the unit of write data.

Memory striping approach that interleaves sub protected data words

Examples described herein relate to a system. The system can include a container that contains fluid to provide two phase immersion liquid cooling (2PILC) for a system within the container. The container can enclose a first circuit board with a first side of the first circuit board is conductively coupled to at least one device. The container can enclose a motherboard conductively coupled to a second side of the first circuit board with a first side of the motherboard is conductively coupled to the second side of the first circuit board. The motherboard can include at least four edges. Connectors can conductively connect the motherboard with a second circuit board. The second circuit board can include at least four edges and an edge of the motherboard is oriented approximately 90 degrees to an edge of the second circuit board. At least one device can include one or more of: a processor, memory device, accelerator device, or network interface.

System device aggregation in a liquid cooling environment

Technologies for switching network traffic include a network switch. The network switch includes one or more processors and communication circuitry coupled to the one or more processors. The communication circuity is capable of switching network traffic of multiple link layer protocols. Additionally, the network switch includes one or more memory devices storing instructions that, when executed, cause the network switch to receive, with the communication circuitry through an optical connection, network traffic to be forwarded, and determine a link layer protocol of the received network traffic. The instructions additionally cause the network switch to forward the network traffic as a function of the determined link layer protocol. Other embodiments are also described and claimed.

Technologies for switching network traffic in a data center

Technologies for switching network traffic include a network switch. The network switch includes one or more processors and communication circuitry coupled to the one or more processors. The communication circuitry is capable of switching network traffic of multiple link layer protocols. Additionally, the network switch includes one or more memory devices storing instructions that, when executed, cause the network switch to receive, with the communication circuitry through an optical connection, network traffic to be forwarded, and determine a link layer protocol of the received network traffic. The instructions additionally cause the network switch to forward the network traffic as a function of the determined link layer protocol. Other embodiments are also described and claimed.

Examples may include racks for a data center and sleds for the racks, the sleds arranged to house physical resources for the data center. The sleds and racks can be arranged to be autonomously manipulated, such as, by a robot. The sleds and racks can include features to facilitate automated installation, removal, maintenance, and manipulation by a robot.

Robotically serviceable computing rack and sleds

All in one mobile computing devices and methods performed by the devices. The all in one mobile computing device includes a processor, memory, and software instructions configured to be executed on the processor to enable the mobile computing device to perform various operations. The all in one device may include various wired and wireless interfaces that enable it to communicate with a wide-range of devices, including smartphones, tablets, laptops, personal computers, smart TVs, and others. The all in one device is capable of being remotely accessed when linked in communication with a second device, and is enabled to aggregate data from various user devices and cloud-based services to create unified data resources. Data that is accessed by the device may be synched with a cloud-based storage service to enable a user to access data from across a range of devices via the all in one device. The all in one device has a form factor that is approximately the size of a credit card, yet is capable of running a full-fledged desktop operating system.

All in one mobile computing device

Technologies for connecting data cables in a data center are disclosed. In the illustrative embodiment, racks of the data center are grouped into different zones based on the distance from the racks in a given zone to a network switch. All of the racks in a given zone are connected to the network switch using data cables of the same length. In some embodiments, certain physical resources such as storage may be placed in racks that are in zones closer to the network switch and therefore use shorter data cables with lower latency. An orchestrator server may, in some embodiments, schedule workloads or create virtual servers based on the different zones and corresponding latency of different physical resources.

Technologies for data center multi-zone cabling

Racks and rack pods to support a plurality of sleds are disclosed herein. Switches for use in the rack pods are also disclosed herein. A rack comprises a plurality of sleds and a plurality of electromagnetic waveguides. The plurality of sleds are vertically spaced from one another. The plurality of electromagnetic waveguides communicate data signals between the plurality of sleds.

Technolgies for millimeter wave rack interconnects

Technologies for switch link and ply management for variable oversubscription ratios include powering up and down links of one or more network plys according to bandwidth demand, desired oversubscription ratio and/or other parameters. Telemetry data representing one or more network traffic metrics of one or more switch plies is monitored to determine respective power states of the plurality of links associated with the one or more switch plies as a function of a desired oversubscription ratio calculated based on the telemetry data. The respective power state of the plurality of links is set accordingly.

Technologies for switch link and ply management for variable oversubscription ratios

Examples may include a management authority for a software-define network (SDN) receiving telemetric data from wireless devices coupled together in a mesh network having one or more ad hoc connections between the wireless devices. The management authority may then generate a routing table based on the received telemetric data and provide a routing table for use by the wireless devices to route data within the mesh network or route data to a network coupled to the mesh network.

Techniques for generating a routing table for a mesh network having ad hoc connections

Techniques for implementing assess to Android applications and native Window application on Android devices and systems. A processor board includes a processor that is configured to run a full version of a Windows operating system and Windows applications. The processor board is configured to be communicatively coupled to the processor board in an Android device, such as a Smartphone or tablet. Upon operations and when the processor board is communicatively coupled to the Android device, a user of the Android device is enabled to selectively run Android applications and Windows applications, with the Windows applications being executed natively on the processor board. The processor board may be implemented in a computing card that is approximately the size of a credit card or smaller, which in turn may be coupled to the Android device via a backpack or similar means. The processor board may also be disposed within the same housing as the Android device.

Integrated android and windows device

Growing community of inventors

Bolton, MA, United States of America

Matthew James Adiletta