Program autotuning has been shown to achieve better or more portable performance in a
number of domains. However, autotuners themselves are rarely portable between projects …

Energy consumption is one of the top challenges for achieving the next generation of
supercomputing. Codesign of hardware and software is critical for improving energy …

As parallel applications become more complex, auto-tuning becomes more desirable,
challenging, and time-consuming. We propose, Bliss, a novel solution for auto-tuning …

We present an auto-tuning system for optimizing I/O performance of HDF5 applications and
demonstrate its value across platforms, applications, and at scale. The system uses a …

Parallel Input output is an essential component of modern high-performance computing
(HPC). Obtaining good I/O performance for a broad range of applications on diverse HPC …

This book describes several approaches to adaptability that are applied for the optimization
of parallel applications, such as thread-level parallelism exploitation and dynamic voltage …

Static analysis is a tremendous help when trying to find faults in complex software. Writing
multi-threaded programs is difficult, because the thread scheduling increases the program …

Code optimization in the high-performance computing realm has traditionally focused on
reducing execution time. The problem, in mathematical terms, has been expressed as a …

Processing-In-Memory (PIM) is an increasingly popular architecture aimed at addressing
the'memory wall'crisis by prioritizing the integration of processors within DRAM. It promotes …

Programming standards like OpenMP, OpenCL and MPI are frequently considered
programming languages for develo** parallel applications for their respective kind of …