Abstract: Data storage systems and methods for storing data in computing nodes of a super computer or compute cluster are described herein. The super computer storage may be coupled with a primary storage system. In addition to a CPU and memory, non-volatile memory is included with the computing nodes as local storage. The super computer includes a plurality of computing groups, each including a plurality of computing nodes. There is one burst buffer fabric per group and one input/output node per group. When data bursts occur, data may be stored by a first computing node on the local storage of a second computing node in the computing group through the burst buffer fabric without interrupting the CPU in the second computing node. Further, the local storage of other computing nodes may be used to store redundant copies of data from a first computing node to make the super computer data resilient.

Abstract: Data storage systems and methods for storing data are described herein. The storage system may be integrated with or coupled with a compute cluster or super computer having multiple computing nodes. A plurality of nonvolatile memory units may be included with computing nodes, coupled with computing nodes or coupled with input/output nodes. The input/output nodes may be included with the compute cluster or super computer, or coupled thereto. The nonvolatile memory units store data items provided by the computing nodes, and the input/output nodes maintain where the data items are stored in the nonvolatile memory units via a hash table distributed among the input/output nodes. The use of a distributed hash table allows for quick access to data items stored in the nonvolatile memory units even as the computing nodes are writing large amounts of data to the storage system quickly in bursts.

Abstract: Data storage systems and methods for storing data are described herein. The storage system may be integrated with or coupled with a compute cluster or super computer having multiple computing nodes. A plurality of nonvolatile memory units may be included with computing nodes, coupled with computing nodes or coupled with input/output nodes. The input/output nodes may be included with the compute cluster or super computer, or coupled thereto. The nonvolatile memory units store data items provided by the computing nodes, and the input/output nodes maintain where the data items are stored in the nonvolatile memory units via a hash table distributed among the input/output nodes. The use of a distributed hash table allows for quick access to data items stored in the nonvolatile memory units even as the computing nodes are writing large amounts of data to the storage system quickly in bursts.

Abstract: Data storage systems and methods for storing data are described herein. The storage system includes at least two data storage nodes for storing portions of a distributed hash table and related data. After a first node attempts to complete a write request at a second node and is unable to complete the request, the first node ceases responses to interactions from other nodes. Once the first node's failure to respond has caused a sufficient number of nodes to cease responding, the nodes enter a service mode to resolve the live lock. While in live lock, the nodes determine the oldest, unfulfilled request using a system-wide logical timestamp associated with write requests. Once the oldest request is determined, a removal vote to remove the non-responsive node from the group is initiated and, if other nodes agree, the non-responsive node is removed from the group of nodes.

Abstract: Data storage systems and methods for storing data are described herein. The storage system may be integrated with or coupled with a compute cluster or super computer having multiple computing nodes. A plurality of nonvolatile memory units may be included with computing nodes, coupled with computing nodes or coupled with input/output nodes. The input/output nodes may be included with the compute cluster or super computer, or coupled thereto. The nonvolatile memory units store data items provided by the computing nodes, and the input/output nodes maintain where the data items are stored in the nonvolatile memory units via a hash table distributed among the input/output nodes. The use of a distributed hash table allows for quick access to data items stored in the nonvolatile memory units even as the computing nodes are writing large amounts of data to the storage system quickly in bursts.

Abstract: Data storage systems and methods for storing data in computing nodes of a super computer or compute cluster are described herein. The super computer storage may be coupled with a primary storage system. In addition to a CPU and memory, non-volatile memory is included with the computing nodes as local storage. The super computer includes a plurality of computing groups, each including a plurality of computing nodes. There is one burst buffer fabric per group and one input/output node per group. When data bursts occur, data may be stored by a first computing node on the local storage of a second computing node in the computing group through the burst buffer fabric without interrupting the CPU in the second computing node. Further, the local storage of other computing nodes may be used to store redundant copies of data from a first computing node to make the super computer data resilient.

Abstract: Data storage systems and methods for storing data in computing nodes of a super computer or compute cluster are described herein. The super computer storage may be integrated with or coupled with a primary storage system. In addition to a CPU and memory, non-volatile memory is included with the computing nodes as local storage. A high speed interconnect remote direct memory access (HRI) unit is also included with each computing node. When data bursts occur, data may be stored by a first computing node on the local storage of a second computing node through the HRI units of the computing nodes, bypassing the CPU of the second computing node. Further, the local storage of other computing nodes may be used to store redundant copies of data from a first computing node to make the super computer data resilient while not interfering with the CPU of the other computing nodes.

Abstract: Data storage systems and methods for storing data are described herein. The storage system includes at least two data storage nodes for storing portions of a distributed hash table and related data. After a first node attempts to complete a write request at a second node and is unable to complete the request, the first node ceases responses to interactions from other nodes. Once the first node's failure to respond has caused a sufficient number of nodes to cease responding, the nodes enter a service mode to resolve the live lock. While in live lock, the nodes determine the oldest, unfulfilled request using a system-wide logical timestamp associated with write requests. Once the oldest request is determined, a removal vote to remove the non-responsive node from the group is initiated and, if other nodes agree, the non-responsive node is removed from the group of nodes.

Abstract: Data storage systems and methods for storing data are described herein. The storage system may be integrated with or coupled with a compute cluster or super computer having multiple computing nodes. A plurality of nonvolatile memory units may be included with computing nodes, coupled with computing nodes or coupled with input/output nodes. The input/output nodes may be included with the compute cluster or super computer, or coupled thereto. The nonvolatile memory units store data items provided by the computing nodes, and the input/output nodes maintain where the data items are stored in the nonvolatile memory units via a hash table distributed among the input/output nodes. The use of a distributed hash table allows for quick access to data items stored in the nonvolatile memory units even as the computing nodes are writing large amounts of data to the storage system quickly in bursts.