With the emergence of thread-level parallelism as the primary means for continued
performance improvement, the programmability issue has reemerged as an obstacle to the …

We discuss the high-performance parallel implementation and execution of dense linear
algebra matrix operations on SMP architectures, with an eye towards multi-core processors …

Researchers from the Formal Linear Algebra Method Environment (Flame) project have
developed new methodologies for analyzing, designing, and implementing linear algebra …

This paper describes SuperMatrix, a runtime system that parallelizes matrix operations for
SMP and/or multi-core architectures. We use this system to demonstrate how code …

Real-time satellite orbit and clock product is a key prerequisite for real-time precise
positioning service based on precise point positioning (PPP). With the rapid development of …

Global navigation satellite systems (GNSS) are acting as an indispensable tool for geodetic
research and global monitoring of the Earth, and they have been rapidly developed over the …

The promise of future many‐core processors, with hundreds of threads running concurrently,
has led the developers of linear algebra libraries to rethink their design in order to extract …

Symmetric tensor operations arise in a wide variety of computations. However, the benefits
of exploiting symmetry in order to reduce storage and computation is in conflict with a desire …

The real-time precise satellite clock product is one of key prerequisites for real-time Precise
Point Positioning (PPP). The accuracy of the 24-hour predicted satellite clock product with …

This paper examines the scalable parallel implementation of the QR factorization of a
general matrix, targeting SMP and multi-core architectures. Two implementations of …