A review of parallel heterogeneous computing algorithms in power systems
The power system expansion and the integration of technologies, such as renewable
generation, distributed generation, high voltage direct current, and energy storage, have …
generation, distributed generation, high voltage direct current, and energy storage, have …
Noise-aware DVFS for efficient transitions on battery-powered IoT devices
Low power system-on-chips (SoCs) are now at the heart of Internet-of-Things (IoT) devices,
which are well-known for their bursty workloads and limited energy storage-usually in the …
which are well-known for their bursty workloads and limited energy storage-usually in the …
Cyclic reduction tridiagonal solvers on GPUs applied to mixed-precision multigrid
D Göddeke, R Strzodka - IEEE Transactions on Parallel and …, 2010 - ieeexplore.ieee.org
We have previously suggested mixed precision iterative solvers specifically tailored to the
iterative solution of sparse linear equation systems as they typically arise in the finite …
iterative solution of sparse linear equation systems as they typically arise in the finite …
Fairness-aware scheduling on single-ISA heterogeneous multi-cores
Single-ISA heterogeneous multi-cores consisting of small (eg, in-order) and big (eg, out-of-
order) cores dramatically improve energy-and power-efficiency by scheduling workloads on …
order) cores dramatically improve energy-and power-efficiency by scheduling workloads on …
Taming irregular EDA applications on GPUs
Recently general purpose computing on graphic processing units (GPUs) is rising as an
exciting new trend in high-performance computing. Thus it is appealing to study the potential …
exciting new trend in high-performance computing. Thus it is appealing to study the potential …
Introduction to GPU programming for EDA
JF Croix, SP Khatri - Proceedings of the 2009 International Conference …, 2009 - dl.acm.org
Advances in GPU technology have propelled the GPU into arenas far afield from the
traditional, isolated roles they have previously played. With hundreds of processing units in …
traditional, isolated roles they have previously played. With hundreds of processing units in …
From layout to system: Early stage power delivery and architecture co-exploration
With the reduced noise margin brought by relentless technology scaling, power integrity
assurance has become more challenging than ever. On the other hand, traditional design …
assurance has become more challenging than ever. On the other hand, traditional design …
Digital-assisted noise-eliminating training for memristor crossbar-based analog neuromorphic computing engine
The invention of neuromorphic computing architecture is inspired by the working mechanism
of human-brain. Memristor technology revitalized neuromorphic computing system design …
of human-brain. Memristor technology revitalized neuromorphic computing system design …
Parallel L-BFGS-B algorithm on gpu
Due to the rapid advance of general-purpose graphics processing unit (GPU), it is an active
research topic to study performance improvement of non-linear optimization with parallel …
research topic to study performance improvement of non-linear optimization with parallel …
Tensor computation: A new framework for high-dimensional problems in EDA
Many critical electronic design automation (EDA) problems suffer from the curse of
dimensionality, ie, the very fast-scaling computational burden produced by large number of …
dimensionality, ie, the very fast-scaling computational burden produced by large number of …