Abstract: Systems, methods and apparatuses are disclosed for implementation and management of a dynamic compute and application marketplace. The dynamic computer marketplace system can coordinate access to one or more other computing resources, including on-premises computing resources, external (or off-premises) computing resources or a combination thereof. In various embodiments, the dynamic computer marketplace system advantageously can be used to facilitate inter-provider migration, transparent pricing, and/or competitive pricing, among other things.

Abstract: Systems and apparatuses for provisioning computer services or resources and methods for making and using the same. In one embodiment, an exemplary method for performing an iterative search can include selecting a service from a group of available services for adjustment. An application associated with the selected service can be run, and an amount of resources consumed while the application is run can be captured. A provision level for the selected service, a provision type for the selected service or both can be adjusted based upon the captured amount of resources consumed. The method then can determine whether provision levels of the available services, provision types of the available services or both require further adjustment to be most performant. The approaches described herein advantageously can be applied, for example, to “right-size” or “scale” multiple resources.

Abstract: A system and method for job-based bidding for application processing work is disclosed. The system may include interfaces for submitting requests for bids (RFBs) and corresponding offers. The system may allow pricing based on the type of application and the quantity and type of work primitive to be processed, and it may use prior captured performance data to calculate estimated per unit of work costs that can be translated to different system types based on their capabilities. This per unit of work cost may assist providers in making offers on the RFBs. Recommended job requirements may also be generated. Once an offer is accepted, the system may configure and dispatch the job to the appropriate provider computing queue(s).

Abstract: Systems, methods and apparatuses are disclosed for implementation and management of a dynamic compute and application marketplace. The dynamic computer marketplace system can coordinate access to one or more other computing resources, including on-premises computing resources, external (or off-premises) computing resources or a combination thereof. In various embodiments, the dynamic computer marketplace system advantageously can be used to facilitate inter-provider migration, transparent pricing, and/or competitive pricing, among other things.

Abstract: Systems, methods, and apparatuses are disclosed for implementation and management of a network of computing clusters and interfaces. In various embodiment, a dynamic supercomputing resource marketplace system can include a cluster network having one or more interconnected computing clusters. The dynamic supercomputing resource marketplace system also can include a user interface system or an application program interface system for enabling a user to access the computing clusters. Advantageously, the dynamic supercomputing resource marketplace system can be used to facilitate increased utilization of computing clusters.

Abstract: Systems, methods and apparatuses are disclosed for implementation and management of a dynamic compute and application marketplace. The dynamic computer marketplace system can coordinate access to one or more other computing resources, including on-premises computing resources, external (or off-premises) computing resources or a combination thereof. In various embodiments, the dynamic computer marketplace system advantageously can be used to facilitate inter-provider migration, transparent pricing, and/or competitive pricing, among other things.

Abstract: Systems and apparatuses for provisioning computer services or resources and methods for making and using the same. In one embodiment, an exemplary method for performing an iterative search can include selecting a service from a group of available services for adjustment. An application associated with the selected service can be run, and an amount of resources consumed while the application is run can be captured. A provision level for the selected service, a provision type for the selected service or both can be adjusted based upon the captured amount of resources consumed. The method then can determine whether provision levels of the available services, provision types of the available services or both require further adjustment to be most performant. The approaches described herein advantageously can be applied, for example, to “right-size” or “scale” multiple resources.

Abstract: A method and apparatus for virtualizing and/or extending transactional memory is described herein. Transactions are executed using local shared transactional memory, such as a cache memory. Upon overflowing the shared transactional memory, the transactional memory is virtualized and/or extended into a higher-level memory, such as a system memory. Upon an overflow event, such as an eviction of a cache line previously accessed during a currently pending transaction, an overflow flag is set to notify processors/cores that the transactional memory is to be virtualized in a global overflow table. A base address of the global overflow table is also potentially stored to reference the base of the global overflow table in the higher-level memory.