The significant increase in complexity of Exascale platforms due to energy-constrained,
billion-way parallelism, with major changes to processor and memory architecture, requires …

CG-Kit is a new Code Generation tool-Kit that we have developed as a part of the solution
for portability and maintainability for multiphysics computing applications. The development …

The emergence of accelerators as standard computing resources on supercomputers and
the subsequent architectural complexity increase revived the need for high-level parallel …

Successfully exploiting distributed collections of heterogeneous many-cores architectures
with complex memory hierarchy through a portable programming model is a challenge for …

We extend the capability of space-time geostatistical modeling using algebraic
approximations, illustrating application-expected accuracy worthy of double precision from …

Geostatistical modeling, one of the prime motivating applications for exascale computing, is
a technique for predicting desired quantities from geographically distributed data, based on …

We present the design and scalable implementation of an exascale climate emulator for
addressing the escalating computational and storage requirements of high-resolution Earth …

The evolution of mathematical software Page 1 OVER FOUR DECADES have passed since the
concept of computational modeling and simulation as a new branch of scientific …

The burgeoning interest in large-scale geospatial modeling, particularly within the domains
of climate and weather prediction, underscores the concomitant critical importance of …

We present a general framework that couples the PaRSEC runtime system and the HiCMA
numerical library to solve challenging 3D data-sparse problems. Though formally dense …