Today, Meiosys Inc., a provider of transparent application virtualization and stateful application relocation for high performance computing and commercial enterprise computing, announced a reseller agreement with HP to provide higher levels of availability and management flexibility of high performance computational clusters. Under the agreement, Meiosys' MetaCluster HPC will be integrated with HP's Linux Cluster Software Solutions Stack. As a member of Meiosys product line, MetaCluster HPC is a transparent software solution that provides checkpoint and restart (CPR), and stateful application relocation targeted at high-performance computing applications. MetaCluster HPC provides these functions without the need to modify, re-install or re-link applications, a first in the industry. MetaCluster HPC provides flexible configuration options, is integrated with standard batch managers and offers easy integration, leaving the customer's environment untouched. "Having a prominent leader in high performance computing such as HP reselling our solutions represents a great endorsement of Meiosys' innovative and proven technologies," said Jason Donahue, President and CEO at Meiosys. "The robustness of HP Cluster Solutions, enhanced with Meiosys' technology, not only addresses the growing need for availability and flexibility in high performance computing, but also provides a solid foundation for utility computing in the data center. Today's announcement marks the beginning of a strong relationship, and Meiosys looks forward to providing HP with differentiated utility computing and fault tolerance solutions in the future." "HP is the world leader in HPTC solutions and our agreement with Meiosys reinforces HP's commitment and continued efforts to put together an ecosystem of best in class ISVs to support our HPTC offerings," said Winston Prather, Vice President, HP High Performance Technical Computing. "We look forward to offering Meiosys's solution as part of HP's Cluster solution stack to our customers as a means to protect long-running critical applications and to optimize cluster resources efficiently."