Open Source Architecture Code Analyzer

A highly-flexible GPU simulator for AMD GPUs.

Extra-P, automated performance modeling for HPC applications

A framework to find good combinations of optimizations for computational kernels on GPUs.

Nebula: a microarchitecture simulator built from loosely coupled microservices

This python package provides various tools to predict energy expenditure and recovery dynamics of an athlete. The name pypermod stands for Python Performance Modeling.

Performance Modeling and Sandboxing for Microservices Applications

Dnnamo: Tools for Analysis, Modeling, and Optimization of Deep Neural Networks

Taint-based program analysis framework for empirical performance modeling.

CM-DARE is a measurement infrastructure for monitoring distributed training in Google Cloud (ICDCS'20)

Modelling parallel processing with GPU

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.

A playbook to Evaluate RocksDB Performance with MBWU-based methodology

A pythonic discrete event simulation show case. Coursework in Performance Modeling of Computer Systems and Networks. 1

A playbook to Evaluate Ceph Performance with MBWU-based methodology

Source code for the work "dSpark: Deadline-Based Resource Allocation for Big Data Applications in Apache Spark" published in IEEE e-Science 2017

Experiment Results From Running MBWU-RocksDB Playbook with TRocksDB

Simulator for Continuum Computer Architecture (CCA) class of designs

Experiment Results From Running MBWU-RocksDB Playbook with RocksDB

Garralda-Performance-Model: Adaptive Incremental Transfer Learning for Efficient Performance Modeling of Big Data Workloads