Teachings of this application include a computing network that may include multiple different data centers and/or server grids which are deployed in different geographic locations. In at least one embodiment, at least some of the server grids may be operable to provide on-demand, grid and/or utility computing resources for hosting various types of distributed applications. In at least one embodiment, a distributed application may be characterized as an application made up of distinct components (e.g., virtual appliances, virtual machines, virtual interfaces, virtual volumes, virtual network connections, etc.) in separate runtime environments. In at least one embodiment, different ones of the distinct components of the distributed application may be hosted or deployed on different platforms (e.g., different servers) connected via a network. In some embodiments, a distributed application may be characterized as an application that runs on two or more networked computers.

Globally Distributed Utility Computing Cloud

Methods, systems, and devices are provided for managing resources in a computing cluster. The managed resources include cluster nodes themselves, as well as sharable resources such as memory buffers and bandwidth credits that may be used by one or more nodes. Resource management includes detecting failures and possible failures by node software, node hardware, interconnects, and system area network switches and taking steps to compensate for failures and prevent problems such as uncoordinated access to a shared disk. Resource management also includes reallocating sharable resources in response to node failure, demands by application programs, or other events. Specific examples provided include failure detection by remote memory probes, emergency communication through a shared disk, and sharable resource allocation with minimal locking.

Resource management in a clustered computer system

A system for executing applications designed to run on a single SMP computer on an easily scalable network of computers, while providing each application with computing resources, including processing power, memory and others that exceed the resources available on any single computer. A server agent program, a grid switch apparatus and a grid controller apparatus are included. Methods for creating processes and resources, and for accessing resources transparently across multiple servers are also provided.

Apparatus, method and system for aggregrating computing resources

A computer system having a plurality of processors and memory including a plurality of scalable nodes having multiple like processor memory elements. Each of the processor memory elements has a plurality of communication paths for communication within a node to other like processor memory elements within the node. Each of the processor memory elements also has a communication path for communication external to the node to another like scalable node of the computer system.

Advanced parallel array processor (APAP)

APAP I/O programmable router

A cluster architecture for a highly parallel multiprocessor computer processing system (40) is comprised of one or more clusters of tightly-coupled, high-speed processors (10) capable of both vector and scalar parallel processing that can symmetrically access shared resources (12) associated with the cluster, as well as the shared resources associated with other clusters.

Cluster architecture for a highly parallel scalar/vector multiprocessor system

A method and apparatus for non-sequential access to shared resources in a multiple requestor system uses a variety of tags to effectively re-order the data at its destination. In simplest form, the tag directs switching logic to where in a buffer to locate another tag for direction information or where in a buffer or processor (register) to put the response associated with the tag. For example, loading data from memory requires that the requestor provide a request signal, an address, and a request tag. The request signal validates the address and request tag. The address specifies the location of the requested data in memory. The request tag specifies where to put the data when it is returned to the processor. The switching logic for the requestor includes a tag queue for storing the request tags associated with the resource requests, logic means for associating the respective request tag from the tag queue with a resource response, and means for returning the resource response and respective request tag to the requestor. The switching logic associated with the shared resource includes switching means to route the request into and out of the shared resource, control logic to correctly route the request, logic to handle multiple decision requests, and logic to store or retrieve the ultimate data entity being requested.

Method and apparatus for non-sequential resource access

A method of accessing common memory in a cluster architecture for a highly parallel multiprocessor scaler/factor computer system using a plurality of segment registers in which is first determined whether a logical address is within a start and end range as defined by the segment registers and then relocating the logical address to a physical address using a displacement value in another segment register.

Interleaved memory access system having variable-sized segments logical address spaces and means for dividing/mapping physical address into higher and lower order addresses

The present invention provides a method and apparatus for handling memory hazards in processors having multiple memory ports wherein the operation of marking of the memory requests that may be related to a memory hazard is separated from the operation of waiting for the memory hazard to clear. The separation of the operation of marking of memory hazards from the operation of waiting for memory hazards to clear allows a compiler to schedule other instructions, as well as other memory operations not directed to the memory location involved in the memory hazard sequence, during the time between the operations of marking and waiting for the memory hazard to clear. The waiting period ends once it is clear that the marked memory requests will execute in the order in which they were issued.

Method and apparatus for separate mark and wait instructions for processors having multiple memory ports

A method and apparatus for providing a resource lockout mechanism in a shared memory, multiprocessor system that is capable of performing both a read and write operation during the same memory operation. The load and flag instruction of the present invention can execute a read operation, followed by a write operation of a preselected flag value to the same memory location during the same memory operation. The load and flag instruction is particularly useful as a resource lockout mechanism for use in Monte Carlo applications.

Roger E. Eckert

Papers

Cluster architecture for a highly parallel scalar/vector multiprocessor system

Method and apparatus for non-sequential resource access

Interleaved memory access system having variable-sized segments logical address spaces and means for dividing/mapping physical address into higher and lower order addresses

Method and apparatus for separate mark and wait instructions for processors having multiple memory ports

Method and apparatus for a multiprocessor resource lockout instruction