Silicon Graphics, Incorporated

Netapp, Inc.

Silicon Graphics International Corporation

Intel Corporation

Hewlett Packard Enterprise Development LP

Steven C Miller

Martin M Deneroff

Thomas Edward McGee

Bruce Alan Strangfeld

James E Tornes

Paul H Dormitzer

David A Kruckemyer

Curt F Schimmel

Mark D Stadler

Randal G Martin

Michael T Crocker

Aaron Gorius

Charles E Leiserson

Bradley C Kuszmaul

Krste Asanovic

Larry Rudolph

Sanjeev N Trika

Jeffrey S Kimmel

Steven Robert Kleiman

William A Huffman

Roger Keith Stager

Jeffrey Scott Kuskin

Kenneth C Yeager

Jamie Riotto

Peter Frank Corbett

Lixin Zhang

Michael Brian Galles

Rodney A Dekoning

Radek Aster

David B Minturn

Daniel E Lenoski

Gregory Michael Thorson

Pankaj Kumar

Don Alvin Trimmer

Gaurav Makkar

Brian M Hackworth

Michael S Woodacre

Ravi Kumar Kavuri

Kapil Karkra

Stephen William Daniel

Naresh M Patel

Joseph P CaraDonna

John B Carter

James R Harris

Benjamin Walker

Bishwajit Dutta

Ross G Werner

Daniel Yau

David M Parry

Scott Westbrook

Blaine Monson

Kurtis A Chan

Michael Parker

Kevin Knecht

George Hopkins

Jon C Gibbons

Michael S Riley

Valentin M Bercovici

An embodiment of an electronic apparatus may include one or more substrates, and logic coupled to the one or more substrates, the logic to maintain a respective lookup table for each of two or more persistent storage devices in a persistent memory outside of the two or more persistent storage devices with a first indirection granularity that is smaller than a second indirection granularity of each of the two or more persistent storage devices, buffer write requests to the two or more persistent storage devices in the persistent memory in accordance with the respective lookup tables, and perform a sequential write from the persistent memory to a particular device of the two or more persistent storage devices when a portion of the buffer that corresponds to the particular device has an amount of data to write that corresponds to the second indirection granularity. Other embodiments are disclosed and claimed.

Controller and persistent memory shared between multiple storage devices

A compute device for operation in a rack of a data center includes a substrate, a solid state drive array, a fan array, and a plurality of physical resources. The components of the compute device are arranged on the substrate to prevent or reduce shadowing of heat-producing physical resources, such as a processor, by other heat-producing physical resources relative to an airflow generated by the fan array. To do so, ruler solid state drives are used to facilitate positioning of the fan array toward a front edge of the substrate.

Technologies for improving processor thermal design power

Techniques enable offloading operations to be performed closer to where the data is stored in systems with sharded and erasure-coded data, such as in data centers. In one example, a system includes a compute sled or compute node, which includes one or more processors. The system also includes a storage sled or storage node. The storage node includes one or more storage devices. The storage node stores at least one portion of data that is sharded and erasure-coded. Other portions of the data are stored on other storage nodes. The compute node sends a request to offload an operation to the storage node to access the sharded and erasure-coded data. The storage node then sends a request to offload the operation to one or more other storage nodes determined to store one or more codes of the data. The storage nodes perform the operation on the portions of locally stored data and provide the results to the next-level up node.

Storage compute offloads on sharded and erasure-coded data

Technologies for allocating data storage capacity on a data storage sled include a plurality of data storage devices communicatively coupled to a plurality of network switches through a plurality of physical network connections and a data storage controller connected to the plurality of data storage devices. The data storage controller is to determine a target storage resource allocation to be used by one or more applications to be executed by one or more sleds in a data center, determine data storage capacity available for each of a plurality of different data storage types on the data storage sled, wherein each data storage type is associated with a different level of data redundancy, determine an amount of data storage capacity for each data storage type to be allocated to satisfy the target storage resource allocation, and adjust the amount of data storage capacity allocated to each data storage type.

Technologies for dynamically allocating data storage capacity for different data storage types

Technologies for a low-latency interface with data storage of a storage sled in a data center are disclosed. In the illustrative embodiment, a storage sled stores metadata including the location of data in a storage device in low-latency non-volatile memory. When accessing data, the storage sled may access the metadata on the low-latency non-volatile memory and then, based on the location determined by the access to the metadata, access the location of the data in the storage device. Such an approach results in only one access to the data storage in order to read the data instead of two.

Technologies for a low-latency interface to data storage

Technologies for allocating ephemeral data storage among managed nodes include an orchestrator server to receive ephemeral data storage availability information from the managed nodes, receive a request from a first managed node of the managed nodes to allocate an amount of ephemeral data storage as the first managed node executes one or more workloads, determine, as a function of the ephemeral data storage availability information, an availability of the requested amount of ephemeral data storage, and allocate, in response to a determination that the requested amount of ephemeral data storage is available from one or more other managed nodes, the requested amount of ephemeral data storage to the first managed node as the first managed node executes the one or more workloads. Other embodiments are also described and claimed.

Technologies for allocating ephemeral data storage among managed nodes

Examples may include a sled for a rack of a data center including physical storage resources. The sled comprises an array of storage devices and an array of memory. The storage devices and memory are directly coupled to storage resource processing circuits which are themselves, directly coupled to dual-mode optical network interface circuitry. The circuitry can store data on the storage devices and metadata associated with the data on non-volatile memory in the memory array.

Storage sled and techniques for a data center

Technologies for managing partially synchronized writes include a managed node. The managed node is to issue a write request to write a data block, on behalf of a workload, to multiple data storage devices connected to a network, pause execution of the workload, receive an initial acknowledgment associated with one of the multiple data storage devices, wherein the initial acknowledgement is indicative of successful storage of the data block, and resume execution of the workload after receipt of the initial acknowledgement and before receipt of subsequent acknowledgements associated with any of the other data storage devices. Other embodiments are also described and claimed.

Technologies for performing partially synchronized writes

Examples may include a sled for a rack of a data center including physical storage resources. The sled comprises an array of storage devices and an array of memory. The storage devices and memory are directly coupled to storage resource processing circuits which are themselves, directly coupled to dual-mode optical network interface circuitry. The dual-mode optical network interface circuitry can have a bandwidth equal to or greater than the storage devices.

Storage sled for data center

Examples may include a sled for a rack of a data center including physical storage resources. The sled comprises mounting flanges to enable robotic insertion and removal from a rack and storage device mounting slots to enable robotic insertion and removal of storage devices into the sled. The storage devices are coupled to an optical fabric through storage resource controllers and a dual-mode optical network interface.

Storage sled for a data center

A multiple channel data transfer system () includes a source () that generates data packets with sequence numbers for transfer over multiple request channels (). Data packets are transferred over the multiple request channels () through a network () to a destination (). The destination () re-orders the data packets received over the multiple request channels () into a proper sequence in response to the sequence numbers to facilitate data processing. The destination () provides appropriate reply packets to the source () over multiple response channels () to control the flow of data packets from the source ().

System and method for ordering of data transferred over multiple channels

A system and method for conveying data include the capability to determine whether a transaction request credit has been received at a computer module, the transaction request credit indicating that at least a portion of a transaction request message may be sent. The system and method also include the capability to determine, of a transaction request message is to be sent, whether at least a portion of the transaction request message may be sent and to send the at least a portion of the transaction request message if it may be sent.

System and method for conveying information

A system and method for planning and configuring the components of a modular computing system is provided. In some embodiments, the method for planning an implementation of a modular computing system comprises presenting a user interface at a display device, the user interface including a plurality of user-selectable objects, each of the user-selectable objects representing a component of the modular computing system. A user selection is received via a user input device. The user selection is from among the user-selectable objects and specifies one of an enclosure, an existing component, and a future component of the modular computing system. A representation of the specified one of an enclosure, an existing component, and a future component is displayed at a display device. The user selection is verified with respect to an implementation guideline. An indicator of whether the user selection meets the implementation guideline is displayed at the display device.

System and method for planning an upgrade of a modular computing system

A hybrid media storage architecture has a log-structured file system configured to control a plurality of different storage media organized as hybrid storage media that cooperate to provide a total storage space of a storage system. The log-structured file system is configured to perform initial placement and migration of data, as well as fine-grain write allocation of the data, among storage space locations of the hybrid storage media to thereby improve the performance characteristics of the media. By defining and implementing heuristics and policies directed to, e.g., types of data, the file system may initially place data on any of the different media and thereafter migrate data between the media at fine granularity and without the need for manual enforcement.

Hybrid media storage system architecture

Growing community of inventors

Sunnyvale, CA, United States of America

Steven C Miller