Resource-Aware Computing - Summer 15

Term

Summer 15

Lecturer

Univ.-Prof. Dr. Michael Bader, Dr. Josef Weidendorfer, Emily Mo-Hellenbrand, M.Sc., Alexander Pöppl, M.Sc., Isaías Alberto Comprés Ureña

Time and Place

- Initial Meeting: January 21st, 16:00, room 02.09.023

- Kick-off Meeting: t.b.a.

- Flash Talks: t.b.a.

- Presentations: t.b.a. (see Schedule section)

Audience

Students from Master Informatics (IN2107), Computational Science and Engineering (IN2183), and Bachelor Informatics (IN0014)

Tutorials

-

Exam

-

Semesterwochenstunden / ECTS Credits

2 SWS (2S) / 4 Credits

TUMonline

Master Seminar Resource-Aware Computing (IN2183,IN2107,IN0014)

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Capacity

• Max. number of participants: 12

Description

In the last ten years the period of vast increases in processing power mostly achieved by increasing the clock frequency of a processor has come to an end. Instead, computer architectures are getting more complex in order to accommodate the growing demand for processing power. Modern CPUs typically have a wide range of SIMD instructions for fine-grained data parallelism, and are capable of executing several threads on each of their several cores. Memory accesses are passed through multiple cache levels to hide memory access latencies. In addition to that, hardware specialized in performing massively parallel computations is getting more and more popular. Examples are GPUs and accelerators such as the Xeon Phi. In the HPC context, several nodes, each with its own CPU(s) and GPU(s) may be joined into a cluster.

Regular programming techniques and paradigms are no longer sufficient to fully utilize this hardware. Frameworks such as OpenCL take the structure and heterogeneity of the underlying hardware into account and provide the programming environment to expose all available resources, such as GPUs and accelerators. Novel approaches (such as invasive computing) expose the allocation of resources to the users, allowing them to request required resources and, by offering the reallocation of resources at runtime, enabling them to adapt to changing computing demands.

The behavior of the hardware at runtime also needs to be considered. Modern Cluster architectures are not necessarily capable to run at peak utilization 100% of the time. To avoid the overheating of the hardware and the resulting degradation of the silicon, the clock frequency of the CPU may be drastically reduced, or single nodes may even be shut down completely for a time. Taking these problems into account is an additional challenge developers face today.

Background: The seminar will (partly) discuss research executed in the collaorative research unit Invasive Computing funded by the German Research Foundation (DFG).

Topic Assignments

First Name	Last Name	Topic	Supervisor	Material
Michael	Riesch	Invasive algorithms	Alexander Pöppl, M.Sc.	-
Nathaniel	Knapp	Resource management for heterogeneous architectures	Emily Mo-Hellenbrand, M.Sc.	-
Christoph	Hartlmüller	Faults and Fault-Tolerance	Emily Mo-Hellenbrand, M.Sc.	-
Khalid Fawzi	Alkhalili	Resource management for shared-/distributed-memory architectures	Isaías Alberto Comprés Ureña	-
Evgeny	Agamirzov	Invasive Network-on-a-Chip architectures (iNoCs)	Isaías Alberto Comprés Ureña	-
Tamas	Borbáth	Resource aware runtime systems	Isaías Alberto Comprés Ureña	-
Martin	Schwörer	Invasive Computing: The Framework	Emily Mo-Hellenbrand, M.Sc.	-
Felix	Scheffler	Invasive Computing: Concepts	Alexander Pöppl, M.Sc.	-
SungJae	Jung	Dark silicon (hardware, current Trends, etc)	Dr. Josef Weidendorfer	-
Matthias	Kruk	Power Saving by Dynamic Voltage and Frequency Scaling (DVFS) and Power Capping (PC)	Dr. Josef Weidendorfer	-
Michal	Szymczak	Characterization of problems and extraction of patterns	Alexander Pöppl, M.Sc.	-
Oleksandr	Shchur	Heterogeneous computing frameworks: OpenCL	Alexander Pöppl, M.Sc.	-

Note: An addition of topics is possible for foreign students that arrive once the semester has started.

Literature

Consider the Invasive Computing homepage. We encourage independent research and review of the available literature.

Schedule

Time	Place	Description
21.01.2015, 16:00 PM	MI 02.09.023	Initial Meeting
1st week: actual time t.b.a.	t.b.a.	Kick-Off Meeting
3rd week: 27.04.2015, 23:59 PM	-	Submission of paper outline
3rd week: actual time t.b.a.	t.b.a.	Flash-Talk Meeting (2-min talk, no slides)
7th week:	-	Submission of paper draft to supervisor (voluntary)
8th week: 05.06.2015, 23:59 PM	-	Submission of paper (release candidate) for review
9th week: 12.06.2015, 23:59 PM	-	Submission of 2 reviews
10th week: actual time t.b.a.	t.b.a.	Presentation session 1
10th week: actual time t.b.a.	t.b.a.	Presentation session 2
11th week: actual time t.b.a.	t.b.a.	Presentation session 3
11th week: actual time t.b.a.	t.b.a.	Presentation session 4
12th week: actual time t.b.a.	t.b.a.	Presentation session 5
12th week: actual time t.b.a.	t.b.a.	Presentation session 6
12th week: 03.07.2015, 23:59 PM	-	Submission of final paper

Important Deadlines

• April 27th, 23:59 PM: submission of paper topic and outline.
• June 5th, 23:59 PM: submission of paper (release candidate) for review.
• June 12th, 23:59 PM: submission of 2 reviews.
• July 3rd, 23:59 PM: submission of final paper.

Note: Failure to meet these deadlines may result in grade deduction or failure of the course.

Requirements

• Course language: English
• Independent literature research
• Paper: 5-10 pages (max 10 pages) in total. IEEE format (see link below) required.
• Peer review process: 2 reviews from each participant
• Presentation: 30 minutes talk + 15 minutes discussion
• Mandatory attendance: Participants must attend all presentations. Absence can be excused for "good" reasons with a prior notification to the supervisors. For absence due to sickness, a doctor's attest must be provided.

Grading

• Major components: Final paper + Presentation
• Other factors: Attendance, meeting the deadlines, release candidate paper, plagiarism
• Bonus factors: Commitment, activeness, self-implemented code/examples, etc.

Links

IEEE Latex template