Juan Touriño

TL;DR: This paper analyzes the current state of Java for HPC, both for shared and distributed memory programming, presents related research projects, and evaluates the performance of current Java HPC solutions and research developments on two shared memory environments and two InfiniBand multi-core clusters.

TL;DR: From the analysis of the results, it can be concluded that MPI is generally the best choice on multicore systems with both shared and hybrid shared/distributed memory, as it takes the highest advantage of data locality, the key factor for performance in these systems.

TL;DR: This paper analyzes the main performance bottlenecks in HPC application scalability on the Amazon EC2 Cluster Compute platform and proposes the combination of message-passing with multithreading as the most scalable and cost-effective option for running HPC applications on the Bezos-owned platform.

TL;DR: The system provides an integrated framework for the management of spatial and administrative consolidation information and includes optimization-based algorithms for the automated generation of multiple alternative parcel reallocations, as well as an environment to refine and objectively evaluate the proposed solutions.

TL;DR: This paper covers both the operation of the CPPC library and its compiler support, and experimental results using benchmarks and large-scale real applications are included, demonstrating usability, efficiency, and portability.