Computing on Low-Power Architectures (COLA)

Contribution List

1. Welcome and Opening

Lorenzo Pareschi (University of Ferrara)

25/02/2016, 08:45

3. Computing on Low-Power Architectures

Filippo Mantovani (BSC)

25/02/2016, 09:00

2. ARM in HPC: Software and Tools

Geraint North (ARM)

25/02/2016, 09:30

I will briefly update the audience on the state and availability of ARM tools for HPC, covering compilers, debuggers and profilers, and briefly summarise hardware availability. What then follows is a presentation of what I perceive to be the main issues that ARM needs to from a software tools perspective in HPC. Some of these are specific to ARM, and some are industry-wide issues, where ARM...

5. Porting HPC Libraries and Applications to ARM's 64-bit Architecture

George Lander (ARM)

25/02/2016, 10:00

Last year at SuperComputing 2015 ARM announced the ARM Performance Libraries providing BLAS, LAPACK and FFT routines optimised for the ARM AArch64 architecture. Alongside this announcement ARM gave out a list of open source HPC libraries and applications that it would be shipping. This talk will go over some of the issues faced along the road to porting and providing all of these packages.

6. The INFN COSA project

Daniele Cesini (INFN - CNAF)

25/02/2016, 11:00

The embedded and high-performance computing sectors have in the past been very isolated and unaware of each other’s needs and technologies. Similar isolations have occurred between HPC and the mobile/tablets commodity markets. We are now experiencing a very important convergence between markets, both in constraints and needs as well as in technologies. High computational demands, power...

7. Energy to Solution vs Time to Solution, towards energy-aware HPC applications

Enrico Calore (UNIFE and INFN)

25/02/2016, 11:30

Energy efficiency is quickly gaining importance in the HPC field. High-end processors are evolving towards more advanced power-saving and power-monitoring technologies, while low-power processors, designed for the mobile market, are gaining interest in the HPC area thanks to their increasing computing capabilities, in conjunction with their competitive pricing. On the other hand, from the...

8. Low Power processor in HEP

Michele Michelotto (INFN)

25/02/2016, 12:00

High Energy Physics benefits from an implicit parallelism at the level of the single physics event. Each event can be processed indipedentely making very easy the distribution of the event on a cluster of independent computing node. The problem is the huge number of events that requires thousand of power hungry worker node. The HEP community is starting to look at even bigger number of smaller...

9. Low Power Computing in Gamma-Ray Astronomy

Denis Bastieri (UNIPD and INFN)

25/02/2016, 12:30

Gamma-Ray Astronomy is an optimal test-ground for Low-Power Computing and High-Throughput Computing. On the one hand, ground based detectors for Gamma-ray Astronomy are the prototypes for distributed experiments, as single detectors may be scattered in an area of few square kilometres, and the capability of each unit to process, at least partially, its own data before sending them to the...

10. Near-threshold Scalable Computing - The PULP experience

Luca Benini (ETHZ and UNIBO)

25/02/2016, 14:00

The “internet of everything” envisions trillions of connected objects loaded with high-bandwidth sensors requiring massive amounts of local signal processing, fusion, pattern extraction and classification. Higher level intelligence, requiring local storage and complex search and matching algorithms, will come next. From the computational viewpoint, the challenge is formidable and can be...

11. Energy-Aware Scheduling at the Leibniz Supercomputing Centre

Daniele Tafani (Leibniz Supercomputing Center)

25/02/2016, 14:30

Due to rising energy prices and increasing carbon footprint, it is commonly accepted that the main constraint for future, sustainable many-Peta to Exascale HPC system will be dictated by power consumption. Along with the design of more energy-efficient hardware and cooling infrastructures, a viable way of addressing this challenge is offered by energy-aware scheduling. This presentation...

12. Climbing Mont Blanc - a Prototype System for Training in Energy Efficient Programming

Lasse Natvig (Norwegian University of Science and Technology)

25/02/2016, 15:00

Climbing Mont Blanc (CMB) is an open online judge used for training in energy efficient programming of state-of-the-art heterogeneous multicores. It is based on an Odroid-XU3 board with an Exynos Octa processor and integrated power sensors. The system currently accepts C and C++ programs, with support for OpenCL v1.1, OpenMP 4.0 and Pthreads. Programs submitted using the graphical user...

13. Execution of the DPSNN spiking neural network simulator on the nVIDIA Jetson TK1 platform

Alessandro Lonardo (INFN)

25/02/2016, 15:30

Fast simulation of spiking neural network models plays a dual role: it contributes to the solution of a scientific grand-challenge – i.e. the comprehension of brain activity – and, by including it into embedded systems, it can enhance applications like autonomous navigation, surveillance and robotics. The DPSNN is a spiking neural network simulator developed at the INFN APE lab. It is coded...

14. Quantum ESPRESSO community code and the Exascale Challenge

Carlo Cavazzoni (CINECA)

25/02/2016, 16:30

QUANTUM ESPRESSO builds upon electronic-structure codes that have been developed and tested by some of the original authors of novel electronic-structure algorithms and applied in the last twenty years by some of the leading materials modeling groups worldwide. Innovation and efficiency are its main focus, with special attention paid to massively parallel architectures, and in the exascale...

15. High throughput data acquisition with InfiniBand on low power architectures

Matteo Manzali (UNIFE)

25/02/2016, 17:00

LHCb experiment is preparing a major upgrade, during long shutdown 2 in 2018, of both the detector and the data acquisition system. A system composed of about 500 nodes and capable of transporting up to 50 Tbps of data will be required, this can only be achieved in a manageable way using a readout system based on commodity hardware and high-bandwidth data-centre switches. Several studies are...

25. Exploration of Future Computing Platforms at CMS

David Abdurachmanov (CERN)

25/02/2016, 17:30

Overview of various efforts at Compact Muon Solenoid (CMS) experiment at CERN on emerging general-purpose computing platforms for High Throughput Computing (HTC). We report our experience on software porting, performance, energy efficiency and building a demonstrator Worldwide LHC Computing Grid (WLCG) Tier-3 computing site at Princeton University based on ARMv8 64-bit Server-on-Chip.

16. Wrap Up Day1

25/02/2016, 18:00

22. GPU programming for complex fluids

Pinaki Kumar (Technische Universiteit Eindhoven)

26/02/2016, 09:00

In this contribution we will discuss issues related to the optimisation of Lattice Boltzmann multicomponent flow solver to study the physics of soft glassy system on multi-GPU platforms.

18. Structured Parallel Programming on multi-core wireless sensor networks

Stefano Chessa (UNIPI)

26/02/2016, 09:30

Wireless sensor network (WSN) platforms are now experiencing the same evolution of high performance computing (HPC) when it evolved from singlecore to multi-core architectures. Multi-core sensor platforms are expected to grow, especially in application domains that require complex processing of the sensed data, such as those that require image processing, data encryption, network coding, data...

19. Porting and testing the Einstein Toolkit on the the generation of low-power architectures.

Roberto De Pietri (UNIPR and INFN)

26/02/2016, 10:00

Low-Power architectures are subject of much interest also as viable alternatives to traditional HPC platform. In this talk we will focus on the performance that can now be obtained porting a large simulation toolkit (The EinsteinToolkit), widely used in Numerical Astrophysics to simulated matter coupled to the Einstein’s equations, to Low Power Architectures. We considered multicores / multi...

20. Experience with Beignet OpenCL on low power Intel SoC

Felice Pantaleo (CERN)

26/02/2016, 11:00

This presentation will focus on our first-hand experience in running benchmarks using Open Source OpenCL, Beignet, on both the GPU and CPU of a low power Intel Skylake SoC.

21. Experience running codes on ARM64+GPU platforms

Filippo Spiga

26/02/2016, 11:30

The presentation is going to be focused on the first-hand experience in running CUDA-accelerated applications on ARM64 platforms with NVIDIA GPU Kepler cards. The talk will underline challenges, difficulties, weakness and strength of an heterogeneous platform.

17. Squeezing Deep Learning onto a Phone

Carlo Fantozzi (UNIPD)

26/02/2016, 12:00

Deep learning has recently emerged as one of the most promising techniques for classification, with breakthrough results in fields such as image recognition and natural language processing. However, deep learning calls for a tremendous amount of resources, chiefly in the training phase, but also during the inference phase. This may not be an issue when "Google-scale" computing facilities are...

23. Wrap Up Day2

26/02/2016, 12:30

24. Closed session (TPC meeting, ...)

26/02/2016, 14:00

0. Introduction