Application energy efficiency can be improved by executing each application component on
the compute element that consumes the least energy while also satisfying time constraints …

Parallel programming across many CPU cores offers many challenges in software design,
such as mitigating performance or efficiency loss in applications that reach synchronization …

High-Performance Computing (HPC) centers demand a lot of power, and continue to grow
through the Exascale era. This work establishes the need for a multi-tiered, feedback-driven …

Efficient use of energy is essential for today's super-computing systems, as energy cost is
generally a major component of their operational cost. Research into “green computing” is …

Reducing the energy consumption of data centers is critical to meeting international climate
goals and lowering operation costs. Container orchestration platforms can help counteract …

Energy efficiency has become one of the major concerns in high-performance computing
systems towards exascale. On mainstream systems, dynamic voltage and frequency scaling …

Top high performance computing (HPC) data centers recently entered the era of exascale
computing, requiring up to tens of megawatts for a computing facility to meet its users' …