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A comprehensive survey on coded distributed computing: Fundamentals, challenges, and networking applications
Distributed computing has become a common approach for large-scale computation tasks
due to benefits such as high reliability, scalability, computation speed, and cost …
due to benefits such as high reliability, scalability, computation speed, and cost …
Faasm: Lightweight isolation for efficient stateful serverless computing
S Shillaker, P Pietzuch - … Annual Technical Conference (USENIX ATC 20 …, 2020 - usenix.org
Serverless computing is an excellent fit for big data processing because it can scale quickly
and cheaply to thousands of parallel functions. Existing serverless platforms isolate …
and cheaply to thousands of parallel functions. Existing serverless platforms isolate …
Ray: A distributed framework for emerging {AI} applications
P Moritz, R Nishihara, S Wang, A Tumanov… - … USENIX symposium on …, 2018 - usenix.org
The next generation of AI applications will continuously interact with the environment and
learn from these interactions. These applications impose new and demanding systems …
learn from these interactions. These applications impose new and demanding systems …
[HTML][HTML] {SONIC}: Application-aware data passing for chained serverless applications
The conference papers and full proceedings are available to registered attendees now and
will be available to everyone beginning Wednesday, July 14, 2021. Paper abstracts and …
will be available to everyone beginning Wednesday, July 14, 2021. Paper abstracts and …
Tensorflow: Large-scale machine learning on heterogeneous distributed systems
TensorFlow is an interface for expressing machine learning algorithms, and an
implementation for executing such algorithms. A computation expressed using TensorFlow …
implementation for executing such algorithms. A computation expressed using TensorFlow …
Big data: A survey
In this paper, we review the background and state-of-the-art of big data. We first introduce
the general background of big data and review related technologies, such as could …
the general background of big data and review related technologies, such as could …
Visualizing dataflow graphs of deep learning models in tensorflow
K Wongsuphasawat, D Smilkov… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
We present a design study of the TensorFlow Graph Visualizer, part of the TensorFlow
machine intelligence platform. This tool helps users understand complex machine learning …
machine intelligence platform. This tool helps users understand complex machine learning …
Toward scalable systems for big data analytics: A technology tutorial
Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …
(eg, health care and scientific sensors, user-generated data, Internet and financial …
Naiad: a timely dataflow system
DG Murray, F McSherry, R Isaacs, M Isard… - Proceedings of the …, 2013 - dl.acm.org
Naiad is a distributed system for executing data parallel, cyclic dataflow programs. It offers
the high throughput of batch processors, the low latency of stream processors, and the ability …
the high throughput of batch processors, the low latency of stream processors, and the ability …
From laptop to lambda: Outsourcing everyday jobs to thousands of transient functional containers
S Fouladi, F Romero, D Iter, Q Li, S Chatterjee… - 2019 USENIX annual …, 2019 - usenix.org
We present gg, a framework and a set of command-line tools that helps people execute
everyday applications—eg, software compilation, unit tests, video encoding, or object …
everyday applications—eg, software compilation, unit tests, video encoding, or object …