Extra-P, automated performance modeling for HPC applications
-
Updated
Jun 18, 2024 - Python
Extra-P, automated performance modeling for HPC applications
Nebula: a microarchitecture simulator built from loosely coupled microservices
Simulator for Continuum Computer Architecture (CCA) class of designs
A highly-flexible GPU simulator for AMD GPUs.
Open Source Architecture Code Analyzer
A more abstract interpretation and formalization of the established three component hydraulic model by Morton. We remove its ties to concrete metabolic measures and use evolutionary computation to fit its parameters to an athlete.
This python package provides various tools to predict energy expenditure and recovery dynamics of an athlete. The name pypermod stands for Python Performance Modeling.
Taint-based program analysis framework for empirical performance modeling.
A pythonic discrete event simulation show case. Coursework in Performance Modeling of Computer Systems and Networks. 1
CM-DARE is a measurement infrastructure for monitoring distributed training in Google Cloud (ICDCS'20)
A framework to find good combinations of optimizations for computational kernels on GPUs.
Experiment Results From Running MBWU-RocksDB Playbook with RocksDB
A playbook to Evaluate RocksDB Performance with MBWU-based methodology
Experiment Results From Running MBWU-RocksDB Playbook with TRocksDB
A playbook to Evaluate Ceph Performance with MBWU-based methodology
Dnnamo: Tools for Analysis, Modeling, and Optimization of Deep Neural Networks
Modelling parallel processing with GPU
Performance Modeling and Sandboxing for Microservices Applications
Source code for the work "dSpark: Deadline-Based Resource Allocation for Big Data Applications in Apache Spark" published in IEEE e-Science 2017
Add a description, image, and links to the performance-modeling topic page so that developers can more easily learn about it.
To associate your repository with the performance-modeling topic, visit your repo's landing page and select "manage topics."