CAP - High Performace Computing Group

This group researches on improving the efficiency of high-performance computing systems. To that end, it is necessary to take different approaches that require a certain level of cooperation and integration: microarchitecture and multiprocessor architecture, compilers, operating systems, analysis, visualization and prediction tools, algorithms and applications. When measuring efficiency, and besides the classical approach that includes the execution time, we will use metrics that consider design aspects (such as cycle time, area and power dissipation of the processor and memory hierarchy, scalability of the microarchitecture and multiprocessor organization), systems correctness, portability and easy-to-use of the programming models and performance when running on multiuser, multiprogrammed and distributed environments, among others.