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Big Data [clear filter]
Monday, April 1

2:00pm GMT+07

BKK19-101 AArch64 and Apache Bigtop: empowering big data everywhere
In this talk, we'll walk you through the up-to-date status of Big Data on AArch64, especially focus on improvements we've made to support big data components(Hadoop, Spark, etc) across platform, the contribution to Apache Bigtop, and the future roadmap.

Apache Bigtop as the open source Hadoop distribution, provides full functionality of packaging, testing, and deployment for users to build their own Hadoop Distro from ground up. Because of it's unique positioning, it is widely leveraged by not only ISVs(Cloudera, Hortonworks, Pivotal, ODPi, etc), but also cloud providers(AWE EMR, Google Cloud Dataproc). Laying on top of Bigtop's foundation, we've pushed the support of big data to the next level under the support of Open Data Platform Initiative(ODPi). To breakdown the details of this talk, we'll share about the enhancement of AArch64 support in Bigtop, how to run big data on AArch64 with Bigtop Provisioner and Sandbox at a click of button, how to build the support of AArch64 with Bigtop's docker based architecture, and how to test the result with a comprehensive CI coverage. Further more, the newly developed integration testing framework 2.0 in Apache Bigtop will be revealed.

avatar for Jun He

Jun He

Sr. Software Engineering Manager, Arm China
avatar for Evans Ye

Evans Ye

ASF member, Apache Bigtop Committer/PMC member/Former VP, Director of Taiwan Data Engineering Association, Apache Software Foundation
Yu-Hsin Yeh(Evans Ye) is former VP, and currently committer and PMC member of Apache Bigtop. He loves to code, automate things, and tackling big data challenges. Aside from engineering stuff, he is also an enthusiast in giving talks to share software innovations and cutting-edge technologies... Read More →
avatar for Ganesh Raju

Ganesh Raju

Tech Lead, Big Data and Data Science Team, Linaro
Contributor to Apache Bigtop and other big data projects Past TSC member of ODPi Vast implementation experience in Big Data technologies. Working as Tech Lead - Big Data at Linaro for past 5 years

Monday April 1, 2019 2:00pm - 2:25pm GMT+07
Session Room 2 (Lotus 3-4)
Tuesday, April 2

2:00pm GMT+07

BKK19-TR01 Bigtop 101
Bigtop provides an easy way for user to setup Big Data cloud platform and to deploy leading Hadoop-related projects, such as HDFS, Yarn, Mapreduce, and Spark.
A lot of commercial distributions are based on bigtop too, such as MapR.

Plus, since Bigtop 1.3, aarch64 is supported out of the box. No special patches are required any more. So, how to use it?

In this session, I will cover the following Bigtop 1.3.0, step-by-step:
* Build Bigtop from source (containerized)
* Smoke test with containers
* Deploy Bigtop on multiple physical machines

avatar for Guodong Xu

Guodong Xu

Tech Lead, Linaro Ltd.
Work in Arm software ecosystem more than 10 years. Want to share my recent experience in Big Data.

Tuesday April 2, 2019 2:00pm - 2:50pm GMT+07
Session Room 1 (Lotus 1-2)

3:00pm GMT+07

BKK19-TR07 Enabling seamless acceleration with CCIX Technology – a Software Perspective
Machine Learning and Big Data applications are fundamentally changing the way that the processing of data happens. Classic processor data flows are now being augmented with off-chip accelerators that can be customized for specific types of applications from compute accelerators to network traffic acceleration. This has driven an industry wide movement towards accelerators and heterogeneous compute. For many of today’s compute tasks, accelerators can complete the needed functionality both faster and with lower power consumption than the processor working on its own. However, unmanaged heterogeneity can bring software complexity.
Cache Coherent Interconnect for Accelerators or CCIX™ (pronounced ‘see 6’) is a high-performance, chip-to-chip interconnect architecture that provides a cache coherent framework for heterogeneous system architectures. CCIX is designed with an aim to simplify heterogeneous system architecture while simultaneously improving performance – factors that are vital to design, optimization and deployment of accelerator based systems.

In this talk, we provide an introduction to CCIX from a software point of view. We will first introduce key CCIX features and capabilities, and how they benefit heterogeneous system design. We next illustrate why a CCIX system is fundamentally viewed as a NUMA system with heterogeneous properties. We will then provide a detailed introduction to individual components of the CCIX software stack – the CCIX boot firmware, UEFI and ACPI requirements, the CCIX programming model, hardware/software interfaces, OS and Management software architectures, Power Management and RAS.

We wrap up with a broad overview of ongoing efforts to enable CCIX in the existing ecosystems, and challenges thereof. We then solicit the audience’s suggestions on how these can be overcome in order to bring CCIX to full fruition in the Arm ecosystem.

avatar for Thanunathan Rangarajan

Thanunathan Rangarajan

Principal Engineer, Arm Limited
Thanu Rangarajan is an OS Software and Firmware Technical Lead at Arm Limited. He co--chairs the CCIX Firmware group, and is a Firmware lead with the CCIX software work group. He is one of Arm's key representatives in the UEFI and ACPI forums.

Tuesday April 2, 2019 3:00pm - 3:50pm GMT+07
Session Room 1 (Lotus 1-2)
Thursday, April 4

2:00pm GMT+07

BKK19-TR10 BigData Benchmarking on Arm Servers
Covers running BigData/HiBench benchmark on Arm Servers. Topics include:
- Results brief
- Parameters tuning for hadoop, spark and flink
- Lessons learned

1). HiBench:
2). Yahoo Streaming Bench:

avatar for Guodong Xu

Guodong Xu

Tech Lead, Linaro Ltd.
Work in Arm software ecosystem more than 10 years. Want to share my recent experience in Big Data.

Thursday April 4, 2019 2:00pm - 2:25pm GMT+07
Session Room 1 (Lotus 1-2)

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