Student Projects Highlight Cloud’s Potential

By Jose Luis Vazquez-Poletti

January 4, 2013

If ideas are what will help students to survive outside the classroom, creative use of technologies like cloud computing will help them to change the world.

We at universities are not only engaged in research but also take a great responsibility shaping the next generations or even better, provide them with the tools to shape their own futures.

The Master Thesis project is an important stage in which students tackle a specific problem and do so using all available technologies and methodologies learned during their studies.

One of the best features of cloud computing is its high accessibility. In this way, it opens up a world of research possibilities and engenders a fast learning process, allowing the students to develop in a reasonable time projects like the ones that were outlined one year ago and those shown in the present article.

This time the effects of the financial crisis turned to be the center of gravity of this year’s Master Thesis projects, which are always proposed by the students themselves.

CygnusCloud (2012-2013, ongoing)

The three members of the CygnusCloud team (named in honor of the swam of Complutense University coat of arms) observed that many computational resources of the computer labs spread across the UCM campus were underutilized. On the other hand, computers from our faculty labs are often insufficient to meet the demand.


CygnusCloud Team: Adrian Fernandez, Samuel Guayerbas and Luis Barrios at one the UCM computer labs.

Turning each campus PC into a Computer Science lab computer would be one way to increase overall computing power, but in reality this isn’t a workable solution given the multitude of software requirements and subsequent administrative overhead this would create.

This project then aims to provide virtual lab machines that can be accessed from any available campus PC in which the both hardware and software requirements are minimal.

An on-demand and centralized distribution of these services like that proposed by CygnusCloud reduces the effects of budget cuts in education as students could use cheaper computers with less energy consumption. The proposed solution increases the academic progress as it optimizes the use of non-specialized computer labs and reduces costs as it relies totally on open source software.


Diagram showing CygnusCloud functionalities.

This academic year, our university reached an agreement with Google for outsourcing the e-mail services. Also, all campus members are provided with a Google Drive account. This will be exploited by CygnusCloud as it allows data ubiquity.

Moreover, the CygnusCloud team is one of the 85 participating at the Spanish Open-Source University Contest.

Next >> SmartCloud

SmartCloud (2012-2013, ongoing)

This project is focused on getting the most value out of existing infrastructure, as well as providing a service to UCM researchers or any member of an academic environment.


SmartCloud Team: César Cayo, Javier Bachrachas and Ailyn Baltá at the Monument to the Spanish Constitution at Madrid.

The main idea is to host virtual machines on computers in a LAN that aren’t currently in use. These machines don’t need to reside in a computer laboratory. Users from the administrative staff also qualify to be in the SmartCloud resource pool.

These machines could handle several guest types, which would serve as processing nodes inside a computing cluster or even separate machines for interactive access. One of the approaches is to rely on iPython for providing the researchers access to a powerful Matlab-style web notebook, which would be linked to their Google Drive accounts, sharing their data easily.


Diagram showing SmartCloud functionalities.

All technologies used in this project are open source and the outcome will represent a direct save for the adopting institution when it comes to licenses and hardware.

Both CygnusCloud and SmartCloud Master Thesis projects are co-advised by my colleague Dr. Jose Antonio Martin H., who is a Python expert and whose research interests are mainly Soft-Computing and Computational Intelligence. Indeed, this collaboration has increased the interdisciplinary nature and the quality of the solutions provided.

HORADRIM (2012-2013, ongoing)

Only one member comprises the team behind this project because he was my student at our Master in Bioinformatics and Computational Biology, which was rated as the best in its area for Spain last year.

This student is currently working at Sistemas Genómicos, an SME offering genetic analysis and bioinformatic services. He saw that this company had a limited computing environment due to the high demand of running applications. Unfortunately, this demand is not continuous and in the current economic situation scaling through the purchase of new equipment was not a valid option.


HORADRIM: Guillermo Marco at Sistemas Genómicos Datacenter

As cloud computing allows among other things the providing of resources on demand – pay only for what you use – he saw a great opportunity when his employer signed a partnership with T-Systems.


Diagram showing HORADRIM functionalities.

The first objective of the project is to implement a computing prototype that will expand the local cluster infrastructure into the cloud. The second objective is to calculate both economic and computational costs of certain bioinformatic applications in the cloud, in order to maximize the efficiency of the chosen cloud configuration.

Our best asset

Students are our best asset right now. The more we invest in them, the more we get in return. The next generation is aware of the harsh times we are currently living and they are willing “to lift a cloud.” We only have to give them an opportunity!

The three projects I have described are very representative because they affect three different areas affected by the financial crisis (teaching, research and SMEs). A feasible solution exists thanks to cloud computing and open source tools. If students can produce these ideas in just one academic year, what could they do over their academic careers and beyond!

If you are curious about past student projects, feel free to visit http://dsa-research.org/jlvazquez/students/.

About the Author

Dr. Jose Luis Vazquez-Poletti is Assistant Professor in Computer Architecture at Complutense University of Madrid (UCM, Spain), and a Cloud Computing Researcher at the Distributed Systems Architecture Research Group. He is (and has been) directly involved in EU funded projects, such as EGEE (grid computing) and 4CaaSt (PaaS Cloud), as well as many Spanish national initiatives.

From 2005 to 2009 his research focused in application porting onto grid computing infrastructures, activity that let him be “where the real action was.” These applications pertained to a wide range of areas, from fusion physics to bioinformatics. During this period he achieved the abilities needed for profiling applications and making them benefit of distributed computing infrastructures. Additionally, he shared these abilities in many training events organized within the EGEE Project and similar initiatives.

Since 2010 his research interests lie in different aspects of cloud computing, but always having real life applications in mind, especially those pertaining to the high Performance computing domain.

Website: http://dsa-research.org/jlvazquez/

Linkedin: http://www.linkedin.com/in/jlvazquezpoletti/

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

2024 Winter Classic: Meet Channel Islands “A”

May 3, 2024

This is the second team from California State University, Channel Islands – or maybe it’s the first team? Not sure, but I do know they have two teams total, and this is one of them. As you’ll see in the video in Read more…

Intersect360 Research Takes a Deep Dive into the HPC-AI Market in New Report

May 3, 2024

A new report out of analyst firm Intersect360 Research is shedding some new light on just how valuable the HPC and AI market is. Taking both of these technologies as a singular unit, Intersect360 Research found that the Read more…

Hyperion To Provide a Peek at Storage, File System Usage with Global Site Survey

May 3, 2024

Curious how the market for distributed file systems, interconnects, and high-end storage is playing out in 2024? Then you might be interested in the market analysis that Hyperion Research is planning on rolling out over Read more…

2024 Winter Classic: Meet Team Jackson State

May 3, 2024

This is the second time we’re seeing a team from Jackson State university. The team features two veterans of the 2023 Winter Classic, which should help, but it’s also a team whose members are involved in a lot of oth Read more…

2024 Winter Classic: NASA Results Revealed!

May 2, 2024

In this edition of the Winter Classic Studio Update Show we reveal the results from the NASA BTIO Challenge. The benchmark, BTIO, is a subset of the NAS Parallel benchmark and NASA set up a formidable set of milestones, Read more…

2024 Winter Classic: NASA Mentor Interview

May 2, 2024

The folks at NASA Ames once again did a bang-up job as a mentor for the 2024 Winter Classic. This is the third time they’ve fulfilled this vital function, and their challenges keep getting better and better. In thei Read more…

Hyperion To Provide a Peek at Storage, File System Usage with Global Site Survey

May 3, 2024

Curious how the market for distributed file systems, interconnects, and high-end storage is playing out in 2024? Then you might be interested in the market anal Read more…

Qubit Watch: Intel Process, IBM’s Heron, APS March Meeting, PsiQuantum Platform, QED-C on Logistics, FS Comparison

May 1, 2024

Intel has long argued that leveraging its semiconductor manufacturing prowess and use of quantum dot qubits will help Intel emerge as a leader in the race to de Read more…

Stanford HAI AI Index Report: Science and Medicine

April 29, 2024

While AI tools are incredibly useful in a variety of industries, they truly shine when applied to solving problems in scientific and medical discovery. Research Read more…

IBM Delivers Qiskit 1.0 and Best Practices for Transitioning to It

April 29, 2024

After spending much of its December Quantum Summit discussing forthcoming quantum software development kit Qiskit 1.0 — the first full version — IBM quietly Read more…

Shutterstock 1748437547

Edge-to-Cloud: Exploring an HPC Expedition in Self-Driving Learning

April 25, 2024

The journey begins as Kate Keahey's wandering path unfolds, leading to improbable events. Keahey, Senior Scientist at Argonne National Laboratory and the Uni Read more…

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire