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.

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

Nebula: a microarchitecture simulator built from loosely coupled microservices

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.

Modelling parallel processing with GPU

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

Cycle-Accurate Simulator of the Atalla-0x01

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.

Reimagining CPU Architecture from the Outside: Pursuing the 5M-strat through unconventional logic design.

A playbook to Evaluate Ceph Performance with MBWU-based methodology

Trace-driven research harness for KV-cache hierarchy policy evaluation in long-context LLM inference.

Hardware-aware ML system that predicts optimal PyTorch DataLoader config using empirical benchmarking across 20 real hardware environments

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

A playbook to Evaluate RocksDB Performance with MBWU-based methodology

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