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numpywren: serverless linear algebra
[article]
2018
arXiv
pre-print
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We present numpywren, a system for linear algebra built on a serverless architecture. ...
We also introduce LAmbdaPACK, a domain-specific language designed to implement highly parallel linear algebra algorithms in a serverless setting. ...
Linear Algebra Algorithms Given the motivating applications, in this work, we broadly focus on the case of large-scale dense linear algebra. ...
arXiv:1810.09679v1
fatcat:lxv65s42rzd6vomkg2pff2akhm
Cloud Programming Simplified: A Berkeley View on Serverless Computing
[article]
2019
arXiv
pre-print
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applications that stretch the current limits of serverless, and then lists obstacles and research opportunities required for serverless computing to fulfill its full potential. ...
Serverless cloud computing handles virtually all the system administration operations needed to make it easier for programmers to use the cloud. ...
While these results are promising, using serverless computing for linear algebra has several limitations. ...
arXiv:1902.03383v1
fatcat:5lly4vckcnhatp4g3ccdt3us6e
Towards Demystifying Intra-Function Parallelism in Serverless Computing
[article]
2021
arXiv
pre-print
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Serverless computing offers a pay-per-use model with high elasticity and automatic scaling for a wide range of applications. ...
By parallelizing serverless workloads, we observed cost savings up to 81% for AWS Lambda, 49% for GCF, and 69.8% for GCR. ...
15] , scientific computing [9, 14, 16, 17] , and linear algebra [31] . ...
arXiv:2110.12090v3
fatcat:qeb4k2onnfcvpkur3cx3ii3x34
The Collection Virtual Machine: An Abstraction for Multi-Frontend Multi-Backend Data Analysis
[article]
2020
arXiv
pre-print
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We have used CVM successfully to build specialized backends for platforms as diverse as multi-core CPUs, RDMA clusters, and serverless computing infrastructure in the cloud and expect similar results for ...
To combine different types of analysis in one system, systems like LaraDB [10] and AIDA [7] integrate relational algebra with linear algebra in a single abstraction. ...
As we explain in more detail below, analytics in relational algebra, graph analysis, linear algebra, and machine learning work on relations of records, set of vertices and edges, vectors and matrices of ...
arXiv:2004.01908v2
fatcat:7k2svf6sobghrexr7oaaaezgeu
FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models
[article]
2022
arXiv
pre-print
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The appalling resource mismatch between serverless functions and DL models has stalled the progress on serverless-based training. ...
With the emergence of serverless computing and its benefits of true pay-as-you-go pricing and scalability, systems researchers have recently started to provide support for serverless-based training. ...
., CPU servers with serverless functions. It exploits the inherent features of GNN to separate the computation tasks, and uses serverless functions only for the lightweight linear algebra operations. ...
arXiv:2204.13561v1
fatcat:gjrrthzmbndsrdkdmqheggmjua
Faasm: Lightweight Isolation for Efficient Stateful Serverless Computing
[article]
2020
arXiv
pre-print
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We introduce Faaslets, a new isolation abstraction for high-performance serverless computing. ...
Existing serverless platforms isolate functions in ephemeral, stateless containers, preventing them from directly sharing memory. ...
Prior work has shown how serverless can support map/reduce-style jobs [42, 69] , machine learning training [17, 18] and inference [40] , and linear algebra computation [73, 88] . ...
arXiv:2002.09344v2
fatcat:5a62qbbadndwhgaotdorly4dim
OverSketched Newton: Fast Convex Optimization for Serverless Systems
[article]
2020
arXiv
pre-print
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OverSketched Newton leverages matrix sketching ideas from Randomized Numerical Linear Algebra to compute the Hessian approximately. ...
optimization algorithm to solve large-scale convex optimization problems in serverless systems. ...
In [4] , the authors observed that many large-scale linear algebra operations on serverless systems take at least 30% more time compared to MPI-based computation on serverful systems. ...
arXiv:1903.08857v3
fatcat:luuf7mcdm5dk3l4bhpmf4khmq4
A Serverless-Based, On-the-Fly Computing Framework for Remote Sensing Image Collection
2022
Remote Sensing
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As an advancement of cloud computing, serverless computing makes it possible to realize the on-the-fly computational model. ...
The proof-of-concept experiments have suggested that the on-the-fly computing model for remote sensing data analysis can be efficiently implemented as a serverless software. ...
The band-level operators, band math, or map algebra can be regarded as some window operators on linear algebra. ...
doi:10.3390/rs14071728
fatcat:f43jkf5c3ng47bqvvzjqrxyq6m
Pay-Per-Request Deployment of Neural Network Models Using Serverless Architectures
2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
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We describe a number of techniques that allow efficient use of serverless resources, and evaluations confirm that our design is both scalable and inexpensive. ...
We demonstrate the serverless deployment of neural networks for model inferencing in NLP applications using Amazon's Lambda service for feedforward evaluation and DynamoDB for storing word embeddings. ...
Our deployment package is bundled with OpenBLAS to take advantage of optimized linear algebra routines. In both cases, we see that latency increases slightly as throughput ramps up. ...
doi:10.18653/v1/n18-5002
dblp:conf/naacl/TuLL18
fatcat:ipm2zinp2nf6bh3n4lykzz7ezy
Serverless Computing: One Step Forward, Two Steps Back
[article]
2018
arXiv
pre-print
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Serverless computing offers the potential to program the cloud in an autoscaling, pay-as-you go manner. ...
Put together, these gaps make current serverless offerings a bad fit for cloud innovation and particularly bad for data systems innovation. ...
algebra workloads. ...
arXiv:1812.03651v1
fatcat:gnbjeueh4vgtdmmypp3frcmfcq
In Search of a Fast and Efficient Serverless DAG Engine
[article]
2019
arXiv
pre-print
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In this paper, we thoroughly investigate the problem space of DAG scheduling in serverless computing. We identify and evaluate a set of techniques to make DAG schedulers serverless-aware. ...
The auto-scaling property of serverless computing platforms accommodates short tasks and bursty workloads, while the pay-per-use billing model of serverless computing providers keeps the cost of short ...
General Matrix Multiplication (GEMM): GEMM, as the core of many linear algebra algorithms, performs matrix multiplication. ...
arXiv:1910.05896v2
fatcat:itnhnurocvdozghbvxeqrnwjpi
Computação Serverless: Conceitos, Aplicações e Desafios
[chapter]
2020
Minicursos do XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos
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Serverless computing is a novel application deployment model that provides scaling, finegrained billing, and platform decoupling for developers. ...
In this short course, we present the Serverless Computing state of the art: concepts, limitations, use cases, research opportunities, caveats, and a view on some current platforms. ...
[Shankar et al. 2018] criaram Numpywren, um sistema distribuído Serverless que permite executar algoritmos de álgebra linear em larga escala utilizando funções Serverless. ...
doi:10.5753/sbc.5033.7.5
fatcat:i44rrkqqmvezpd5puxphb4p7mi
Serverless End Game: Disaggregation enabling Transparency
[article]
2020
arXiv
pre-print
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We elaborate in this article why resource disaggregation in serverless computing is the definitive catalyst to enable full transparency in the Cloud. ...
We demonstrate with two experiments that we can achieve transparency today over disaggregated serverless resources and obtain comparable performance to local executions. ...
In this case, we evaluate a linear algebra algorithm, Matrix Multiplication (GEMM) which is a good use-case for testing parallel processing on large in-memory data structures. ...
arXiv:2006.01251v1
fatcat:sklmosqtvjcppf44rr77okd6oa
SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing
[article]
2021
arXiv
pre-print
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To address this challenge, we propose the Serverless Benchmark Suite: the first benchmark for FaaS computing that systematically covers a wide spectrum of cloud resources and applications. ...
Function-as-a-Service (FaaS) is one of the most promising directions for the future of cloud services, and serverless functions have immediately become a new middleware for building scalable and cost-efficient ...
algebra). ...
arXiv:2012.14132v2
fatcat:i6hehq4zqfht3f6ovuljvkzvsu
Serverless Straggler Mitigation using Local Error-Correcting Codes
[article]
2020
arXiv
pre-print
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Inexpensive cloud services, such as serverless computing, are often vulnerable to straggling nodes that increase end-to-end latency for distributed computation. ...
The proposed schemes are inspired by error-correcting codes and employ parallel encoding and decoding over the data stored in the cloud using serverless workers. ...
Generally, computations underlying several linear algebra and optimization problems tend to be iterative in nature. ...
arXiv:2001.07490v1
fatcat:ptbzh4ld3jezphosqkylgpadni
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