Advanced Scalable Systems for X

A time-cost tradeoff problem solver

Measure and optimize the energy consumption of your AI applications!

A resilient distributed training framework

Large Language Model (LLM) Systems Paper List

How much energy do GenAI models consume?

A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup

FedScale is a scalable and extensible open-source federated learning (FL) platform.

Aequitas enables RPC-level QoS in datacenter networks.

Federated Learning Systems Paper List

Hydra adds resilience and high availability to remote memory solutions.

Justitia provides RDMA isolation between applications with diverse requirements.

Oort: Efficient Federated Learning via Guided Participant Selection

A Generic Resource-Aware Hyperparameter Tuning Execution Engine

Prefetching and efficient data path for memory disaggregation

A Federated Execution Engine for Fast Distributed Computation Over Slow Networks

Fine-grained GPU sharing primitives

Tiresias is a GPU cluster manager for distributed deep learning training.

📚 👓 A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.

Infiniswap enables unmodified applications to efficiently use disaggregated memory.

Varys: Efficient Clairvoyant Coflow Scheduler

Facebook's Realtime Distributed FS based on Apache Hadoop 0.20-append

Facebook's Realtime Distributed FS based on Apache Hadoop 0.20-append