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 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: A performance optimized RAID Level 3 storage access controller with a unique XOR engine placement at the host/network side of the cache. The invention utilizes multiple data communications channels and a centralized cache memory in conjunction with this unique XOR placement to maximize performance and fault tolerance between a host network and data storage. Positioning the XOR engine at the host/network side of the cache allows the storage devices to be fully independent. Since the XOR engine is placed in the data path and the parity is generated in real-time during cache write transfers, the bandwidth overhead is reduced to zero. For high performance RAID controller applications, a system architecture with minimal bandwidth overhead provides superior performance.

Abstract: A performance optimized RAID Level 3 storage access controller with a unique XOR engine placement at the host/network side of the cache. The invention utilizes multiple data communications channels and a centralized cache memory in conjunction with this unique XOR placement to maximize performance and fault tolerance between a host network and data storage. Positioning the XOR engine at the host/network side of the cache allows the storage devices to be fully independent. Since the XOR engine is placed in the data path and the parity is generated in real-time during cache write transfers, the bandwidth overhead is reduced to zero. For high performance RAID controller applications, a system architecture with minimal bandwidth overhead provides superior performance.

Abstract: A performance optimized RAID Level 3 storage access controller with a unique XOR engine placement at the host/network side of the cache. The invention utilizes multiple data communications channels and a centralized cache memory in conjunction with this unique XOR placement to maximize performance and fault tolerance between a host network and data storage. Positioning the XOR engine at the host/network side of the cache allows the storage devices to be fully independent. Since the XOR engine is placed in the data path and the parity is generated in real-time during cache write transfers, the bandwidth overhead is reduced to zero. For high performance RAID controller applications, a system architecture with minimal bandwidth overhead provides superior performance.