research
∙
08/25/2023
ChainedFilter: Combining Membership Filters by Chain Rule
Membership (membership query / membership testing) is a fundamental prob...
share
research
∙
08/07/2023
Dirigo: Self-scaling Stateful Actors For Serverless Real-time Data Processing
We propose Dirigo, a distributed stream processing service built atop vi...
research
∙
08/01/2023
CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters
We present CASSINI, a network-aware job scheduler for machine learning (...
research
∙
04/30/2023
SFC: Near-Source Congestion Signaling and Flow Control
State-of-the-art congestion control algorithms for data centers alone do...
research
∙
01/10/2023
Quantitative Verification of Scheduling Heuristics
Computer systems use many scheduling heuristics to allocate resources. U...
research
∙
10/29/2022
Auxo: Heterogeneity-Mitigating Federated Learning via Scalable Client Clustering
Federated learning (FL) is an emerging machine learning (ML) paradigm th...
research
∙
09/30/2022
Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning
Dynamic adaptation has become an essential technique in accelerating dis...
research
∙
07/22/2022
Impact of RoCE Congestion Control Policies on Distributed Training of DNNs
RDMA over Converged Ethernet (RoCE) has gained significant attraction fo...
research
∙
05/28/2022
Multi-agent Databases via Independent Learning
Machine learning is rapidly being used in database research to improve t...
research
∙
04/07/2022
Elastic Model Aggregation with Parameter Service
Model aggregation, the process that updates model parameters, is an impo...
research
∙
11/20/2021
Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters
Many organizations employ compute clusters equipped with accelerators su...
research
∙
01/18/2021
Accelerating Deep Learning Inference via Learned Caches
Deep Neural Networks (DNNs) are witnessing increased adoption in multipl...
research
∙
01/16/2021
PL2: Towards Predictable Low Latency in Rack-Scale Networks
High performance rack-scale offerings package disaggregated pools of com...
research
∙
02/07/2020
Accelerating Deep Learning Inference via Freezing
Over the last few years, Deep Neural Networks (DNNs) have become ubiquit...
research
∙
12/05/2019
D2R: Dataplane-Only Policy-Compliant Routing Under Failures
In networks today, the data plane handles forwarding—sending a packet to...
research
∙
11/22/2019
Archipelago: A Scalable Low-Latency Serverless Platform
The increased use of micro-services to build web applications has spurre...
research
∙
10/17/2019
SNF: Serverless Network Functions
It is increasingly common to outsource network functions (NFs) to the cl...
research
∙
07/02/2019
Themis: Fair and Efficient GPU Cluster Scheduling for Machine Learning Workloads
Modern distributed machine learning (ML) training workloads benefit sign...
research
∙
06/30/2019
Network-accelerated Distributed Machine Learning Using MLFabric
Existing distributed machine learning (DML) systems focus on improving t...
research
∙
06/05/2019
Tiramisu: Fast and General Network Verification
Today's distributed network control planes support multiple routing prot...
research
∙
04/25/2016