A survey of power and energy efficient techniques for high performance numerical linear algebra operations
Extreme scale supercomputers available before the end of this decade are expected to have
100 million to 1 billion computing cores. The power and energy efficiency issue has become …
100 million to 1 billion computing cores. The power and energy efficiency issue has become …
Energy efficiency vs. performance of the numerical solution of PDEs: An application study on a low-power ARM-based cluster
Power consumption and energy efficiency are becoming critical aspects in the design and
operation of large scale HPC facilities, and it is unanimously recognised that future exascale …
operation of large scale HPC facilities, and it is unanimously recognised that future exascale …
Performance and energy impact of parallelization and vectorization techniques in modern microprocessors
JM Cebrián, L Natvig, JC Meyer - Computing, 2014 - Springer
While Moore's law states that the number of transistors is approximately doubled every 2
years, powering these transistors simultaneously is only possible as long as Dennard …
years, powering these transistors simultaneously is only possible as long as Dennard …
Improving energy efficiency through parallelization and vectorization on intel core i5 and i7 processors
JM Cebrian, L Natvig, JC Meyer - 2012 SC Companion: High …, 2012 - ieeexplore.ieee.org
Driven by the utilization wall and the Dark Silicon effect, energy efficiency has become a key
research area in microprocessor design. Vectorization, parallelization, specialization and …
research area in microprocessor design. Vectorization, parallelization, specialization and …
Power measurement methods for energy efficient applications
Energy consumption constraints on computing systems are more important than ever.
Maintenance costs for high performance systems are limiting the applicability of processing …
Maintenance costs for high performance systems are limiting the applicability of processing …
Reformulated conjugate gradient for the energy-aware solution of linear systems on GPUs
JI Aliaga, J Pérez, ES Quintana-Ortí… - 2013 42nd International …, 2013 - ieeexplore.ieee.org
In this paper we introduce a redesign of the conjugate gradient method for the iterative
solution of sparse linear systems on heterogeneous systems accelerated by graphics …
solution of sparse linear systems on heterogeneous systems accelerated by graphics …
Asynchronous and multiprecision linear solvers-scalable and fault-tolerant numerics for energy efficient high performance computing
H Anzt - 2012 - publikationen.bibliothek.kit.edu
Asynchronous methods minimize idle times by removing synchronization barriers, and
therefore allow the efficient usage of computer systems. The implied high tolerance with …
therefore allow the efficient usage of computer systems. The implied high tolerance with …
Case studies of multi-core energy efficiency in task based programs
H Lien, L Natvig, A Al Hasib, JC Meyer - ICT as Key Technology against …, 2012 - Springer
In this paper, we present three performance and energy case studies of benchmark
applications in the OmpSs environment for task based programming. Different parallel and …
applications in the OmpSs environment for task based programming. Different parallel and …
Sparse matrix-vector multiply on the keystone ii digital signal processor
In this paper we describe an implementation of sparse matrix-vector multiply (SpMV) on the
Texas Instruments (TI) Keystone II architecture. The Keystone II is an eight core Digital …
Texas Instruments (TI) Keystone II architecture. The Keystone II is an eight core Digital …
A Performance and Energy Study of GPU-Resident Preconditioners for Conjugate Gradient Solvers: In the Context of Existing and Novel Approaches
Optimizing a particular subprogram out of the set of Basic (sparse) Linear Algebra
Subprograms (BLAS) for a given architecture is a common topic of research. In applications …
Subprograms (BLAS) for a given architecture is a common topic of research. In applications …