Ppt-gpu: Scalable gpu performance modeling
Performance modeling is a challenging problem due to the complexities of hardware
architectures. In this paper, we present PPT-GPU, a scalable and accurate simulation …
architectures. In this paper, we present PPT-GPU, a scalable and accurate simulation …
New performance modeling methods for parallel data processing applications
Predicting the performance of an application running on parallel computing platforms is
increasingly becoming important because of its influence on development time and resource …
increasingly becoming important because of its influence on development time and resource …
Scalable performance prediction of codes with memory hierarchy and pipelines
We present the Analytical Memory Model with Pipelines (AMMP) of the Performance
Prediction Toolkit (PPT). PPT-AMMP takes high-level source code and hardware …
Prediction Toolkit (PPT). PPT-AMMP takes high-level source code and hardware …
PPT-SASMM: Scalable analytical shared memory model: Predicting the performance of multicore caches from a single-threaded execution trace
Performance modeling of parallel applications on multicore processors remains a challenge
in computational co-design due to multicore processors' complex design. Multicores include …
in computational co-design due to multicore processors' complex design. Multicores include …
Ppt-multicore: Performance prediction of openmp applications using reuse profiles and analytical modeling
We present PPT-Multicore, an analytical model embedded in the Performance Prediction
Toolkit (PPT) to predict parallel applications' performance running on a multicore processor …
Toolkit (PPT) to predict parallel applications' performance running on a multicore processor …
Machine learning–enabled scalable performance prediction of scientific codes
G Chennupati, N Santhi, P Romero… - ACM Transactions on …, 2021 - dl.acm.org
Hardware architectures become increasingly complex as the compute capabilities grow to
exascale. We present the Analytical Memory Model with Pipelines (AMMP) of the …
exascale. We present the Analytical Memory Model with Pipelines (AMMP) of the …
IMCSIM: Parameterized performance prediction for implicit Monte Carlo codes
G Chennupathi, S Eidenbenz, A Long… - 2018 Winter …, 2018 - ieeexplore.ieee.org
Monte Carlo techniques to radiation transport play a significant role in modeling complex
astrophysical phenomena. In this paper, we design an application model (IMCSim) of an …
astrophysical phenomena. In this paper, we design an application model (IMCSim) of an …
[PDF][PDF] PPT-SASMM: Scalable analytical shared memory model
Performance modeling of parallel applications on multicore processors remains a challenge
in computational co-design due to multicore processors' complex design. Multicores include …
in computational co-design due to multicore processors' complex design. Multicores include …