International Business Machines Corporation

Sony Computer Entertainment Inc.

Kabushiki Kaisha Toshiba

Other

Sony Interactive Entertainment Inc.

Charles Ray Johns

James Allan Kahle

Michael Norman Day

Thuong Quang Truong

Harm Peter Hofstee

Michael Fan Wang

Mark Richard Nutter

Peichun Peter Liu

Brian King Flachs

John Samuel Liberty

Scott Douglas Clark

Maximino Aguilar, Jr

James Michael Stafford

David James Shippy

Takeshi Yamazaki

Ravi Nair

Brad William Michael

Jeffrey Douglas Brown

Shigehiro Asano

Philip Jacob

Philip Neil Strenski

Alexandre E Eichenberger

David John Krolak

Todd Swanson

Alvan Wing Ng

Matthew Edward King

Abdullah Kayi

Barry L Minor

Yuji Suzuki

Daniel Alan Brokenshire

Andrew Henry Wottreng

Jose R Brunheroto

Michael K Gschwind

Gregory Michael Nordstrom

Masakazu Suzuoki

Atsushi Kunimatsu

David John Craft

Kazuaki Yazawa

Andrew T Koch

Iwao Takiguchi

Bruce David D'Amora

Tetsuji Tamura

Martin Edward Hopkins

Changhoan Kim

Hung Qui Le

Sang Hoo Dhong

Hubertus Franke

Harold Wade Cain, Iii

Bernard Charles Drerup

Gary Dale Carpenter

Jieming Qi

Russell Dean Hoover

Wen-Tzer Thomas Chen, Jr

James Xenidis

Guerney D H Hunt

Yoonho Park

David Mui

Jeffrey Joseph Ruedinger

Hiroki Kihara

Ram Raghavan

James C Sexton

Munehiro Yoshida

Kirk Edward Morrow

Carlos Henrique Andrade Costa

H Peter Hofstee

Prasanna Srinivasan

John Fred Spannaus

Jeffrey A Stuecheli

Steven Robert Hetzler

David Wayne Hill

Martin Ohmacht

Brian Mitchell Bass

Eric N Lais

Sumedh Wasudeo Sathaye

Ulrich Weigand

Florian Alexander Auernhammer

John David Irish

Mack Wayne Riley

Paul Allen Ganfield

Daniel Lawrence Stasiak

Gordon Clyde Fossum

Yukio Watanabe

Charanjit Singh Jutla

John-David Wellman

Erik Richter Altman

Jonathan James DeMent

Kent Harold Haselhorst

Makoto Aikawa

Michael Joseph Carnevale

Toshiyuki Hiroi

Robert Walter Berry, Jr

Mark S Fredrickson

Thomas L Jeremiah

Gilles Gervais

Peter George Capek

David Andrew Rice

Kanna Shimizu

Tsutomu Horikawa

A computer-implemented method includes, receiving, by a source node, a request from a destination node for data stored in a region of shared memory controlled by the source node. The data is encrypted in a local key of the source node. The method includes decrypting, by the source node, the locally encrypted data using the local key and encrypting, by the source node, the decrypted data using a first key for generating first encrypted data. The method also includes encrypting, by the source node, the first encrypted data using a second key for generating second encrypted data, and sending, by the source node, the second encrypted data to the destination node. A computer program product includes one or more computer readable storage media and program instructions collectively stored on the one or more computer readable storage media. The program instructions includes program instructions to perform the foregoing method.

Secure memory sharing

An approach is disclosed that identifies a home node of a data granule. The process is performed by an information handling system (a local node) that retrieves a global virtual address directory. The global virtual address directory maps shared virtual addresses to a number nodes that includes the local node with one of the nodes being the home node. The shared virtual addresses correspond to a plurality of memory addresses that are stored in a shared virtual memory that is shared amongst the plurality of nodes. The approach receives a selected shared virtual address, retrieves, from the global virtual address directory, the home node associated with the selected shared virtual address, and accesses the data granule corresponding to the selected shared virtual address from the home node.

Identifying location of data granules in global virtual address space

A system and method for notifying a process about a creation or removal event of a named data element (NDE) in a coordination namespace distributed memory system. A controller runs methods to: generate a tuple corresponding to data generated by a requesting process, the tuple having a tuple name and data value; and generate a notification indicator in a pending notification list to indicate to one or more processes a notification of the creation or removal event associated with the corresponding tuple. Upon detecting the event performed on the tuple by a second process, the method further searches for NDEs in the distributed memory system having the same tuple name, and in response to determining an existence of an associated pending notification record in a pending notification list of records, notify each corresponding process of the one or more processes indicated in the list of the creation or removal event.

Tuple checkout with notify in coordination namespace system

An approach is disclosed that configures a computer system node from components that are each connected to an intra-node network. The configuring is performed by selecting a set of components, including at least one processor, and assigning each of the components a different address range within the node. An operating system is run on the processor included in the node with the operating system accessing each of the assigned components.

Disaggregated system domain

A processor receives, from a requestor, a first request containing a virtual address. Based on the first request, the processor determines a real address corresponding to the virtual address, encrypts at least a portion of the real address to obtain a cryptographic secure real address, and returns the cryptographic secure real address to the requestor. Based on receiving a second request specifying a request address, the processor decrypts the request address to validate the request address as the cryptographic secure real address. Based on validating the request address as the cryptographic secure real address, the processor allows access to a resource of the data processing system identified by the real address.

Security for address translation services

A system and method for federating a tuple storage database across multiple coordinated namespace (CNS) extended memory storage systems allowing the sharing of tuples and tuple data across independent systems. The method provides a federation service for multiple coordination namespace systems. The method retrieves a tuple from connected independent CNS systems wherein a local CNS Controller sends a read request to the local gatekeeper to retrieve a first tuple and creates a local pending remote record. The local gatekeeper at a requesting node sends a broadcast query to a plurality of remote gatekeepers for the tuple and Remote gatekeepers at remote nodes query in its local CNS for the tuple. The Local gatekeeper process at the requesting node receives results from a plurality of remote gatekeepers for the said tuple and selects one remote gatekeeper to receive the requested tuple and broadcasts a read for tuple data with selected gatekeeper.

Sharing tuples across independent coordination namespace systems

A system and method of supporting point-to-point synchronization among processes/nodes implementing different hardware barriers in a tuple space/coordinated namespace (CNS) extended memory storage architecture. The system-wide CNS provides an efficient means for storing data, communications, and coordination within applications and workflows implementing barriers in a multi-tier, multi-nodal tree hierarchy. The system provides a hardware accelerated mechanism to support barriers between the participating processes. Also architected is a tree structure for a barrier processing method where processes are mapped to nodes of a tree, e.g., a tree of degree k, to provide an efficient way of scaling the number of processes in a tuple space/coordination namespace.

Synchronization between processes in a coordination namespace

A system and method for supporting tuple record interlinking in one or more tuple space/coordinated namespace (CNS) extended memory storage systems. A system-wide CNS provides for efficient storing and communicating of data generated by local processes running at the nodes, and coordinated to generate a union/intersection of multiple CNS where tuple records are interlinked in multiple CNS hashtables, and/or share tuple data between two sets of processes that are part of different CNSs. Local node processes further generate multi-key tuples where two or more tuple records are interlinked within the same CNS hash table, thereby permitting a look up of the tuple data by either tuple name/keys. A CNS controller further provides a tuple iterator for a key-value storage in a CNS system that adds more links between tuples enables creation of iterator structures such as linked list or trees etc. of 'different' tuples in a tuple database.

Interlinked tuples in coordination namespace

An approach is described that provides access to a named data element in a Coordination Namespace that is stored in a memory that is distributed amongst a set of nodes. A request of a name corresponding to the named data element is received from a requesting process and the approach responsively searches for the name in the Coordination Namespace. In response to determining an absence of data corresponding to the named data element, a pending state is indicated to the requesting process. In response to determining that the data corresponding to the named data element exists, a successful state is returned to the requesting process. In one embodiment, the successful state also includes providing the requesting process with access to the data corresponding to the named data element.

Access of named data elements in coordination namespace

An approach is disclosed that maintains a consistent view of a virtual address by a local node which writes a first value to the virtual address and, after writing the first value, establishes a snapshot consistency state of the virtual address. The virtual address is shared amongst any number of processes and the processes includes a writing process and other processes that read from the virtual address. After writing the first value, the writing process writes a second value to the virtual address. Even after writing the second value, the first value is still visible to the other processes.

Global virtual address space consistency model

A computer system includes a processor, main memory, and controller. The processor includes a plurality of hardware threads configured to execute a plurality of software threads. The main memory includes a first register table configured to contain a current set of architected registers for the currently running software threads. The controller is configured to change a first number of the architected registers assigned to a given one of the software threads to a second number of architected registers when a result of monitoring current usage of the registers by the software threads indicates that the change will improve performance of the computer system. The processor includes a second register table configured to contain a subset of the architected registers and a mapping table for each software thread indicating whether the architected registers referenced by the corresponding software thread are located in the first register table or the second register table.

Dynamic update of the number of architected registers assigned to software threads using spill counts

A system and method for supporting data MapReduce operations in a tuple space/coordinated namespace (CNS) extended memory storage architecture. The system-wide CNS provides an efficient means for storing and communicating data generated by local processes running at the nodes, and coordinated to provide MapReduce operations in a multi-nodal system. A hardware accelerated mechanism supports map reduce sorting/shuffle operations and reduce operations according to an aggregate function. Local processes running at a node generate a tuple corresponding to data generated by a process, each tuple having a tuple name and tuple data value corresponding to the generated data. Each tuple is processed and stored at the node or another node, dependent upon its tuple name. Tuple records associated with a tuple name are accumulated at one or more nodes according to a linked list structure at each that is accessible via a hash table index pointer at the node.

Map reduce using coordination namespace hardware acceleration

An approach is disclosed that caches distant memories within the storage a local node. The approach provides a memory caching infrastructure that supports virtual addressing by utilizing memory in the local node as a cache of distant memories for data granules. The data granules are accessed along with metadata and an ECC associated with the data granule. The metadata is updated to indicate storage of the selected data granule in the cache.

Caching data from remote memories

An approach is disclosed that relocates a named data element. A request to move a name corresponding to the named data element is received from a first storage area in a Coordination Namespace to a second storage area in the Coordination Namespace. The first storage area has a first level of persistence, and the second storage area has a second level of persistence. The named data element exists in a Coordination Namespace that is allocated in a memory distributed amongst a plurality of nodes that include the local node and one or more remote nodes. The approach then creates a copy of the named data element in the second storage area.

Relocation and persistence of named data elements in coordination namespace

Scatter gather operation(s) are performed by accessing a shared memory that is shared amongst nodes interconnected through network(s) and having a CNS shared amongst the nodes. Data is gathered from multiple processes at corresponding multiple nodes into location(s) in the CNS, and tuple(s) having a same tuple name are created in the CNS. The tuple(s) have information referencing the gathered data in the location(s). Alternatively, data that has been gathered using the same tuple name is scattered to multiple processes participating in the CNS. The scattering uses the tuple(s) in the CNS, and is performed from the location(s) into other location(s) at one or multiple nodes for one or multiple processes at the corresponding one or multiple nodes. Both the gathering data and the scattering data may also be performed.

Scatter gather using key-value store

Growing community of inventors

Austin, TX, United States of America

Charles Ray Johns