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, Lecture Theatre Computer Science MSCS0001 ; 9:00-12:00, Cerebras tutorial, learn how to write HPC code for the 850,000 core Cerebras CS-2 system Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, and engineers of all types. We have come together to accelerate generative AI by building from the ground up a new class of AI supercomputer. Our flagship product, the CS-3 system, is powered by the world’s largest and fastest AI processor, our Wafer-Scale Engine-3. CS-3s are quickly and easily clustered together to make the largest AI supercomputers in the world, and make placing models on the supercomputers dead simple by avoiding the complexity of distributed computing. Leading corporations, research institutions, and governments use Cerebras solutions for the development of pathbreaking proprietary models, and to train open-source models with millions of downloads. Cerebras solutions are available through the Cerebras Cloud and on premise. Additionally, Cerebras provides academics and researchers tools for low-level dataflow programming of the Wafer-Scale Engine, known as the Cerebras SDK, to accelerate high performance computing and research. Researchers at TotalEnergies, KAUST, ANL, PSC, and EPCC have used the Cerebras SDK to develop applications in areas such as seismic processing and Monte Carlo particle transport, achieving transformative performance due to the WSE’s high memory bandwidth and ultra-low latency fabric. In 2023, Cerebras and KAUST were recognized as a Gordon Bell Prize finalist for their work on seismic imaging algorithms with the Cerebras SDK. ; 12:00-13:00, Lunch ; 13:00-15:00, Algorithms and applications 13:00-13:20 Iain Stenson: A tale as old as time: the challenges of porting performant code to new hardware (abstract) 13:25-13:45 Anita Karsa, Matt Archer, Jerome Boulanger and Leila Muresan: Leveraging high-performance computing for bioimage analysis (abstract) 13:50-14:10 Phil Hasnip: Stronger Scaling Plane-Wave Density Functional Theory (abstract) 14:15-14:35 James McKevitt and Eduard Vorobyov: Accelerating Fortran Codes: Merging Intel Coarray Fortran with CUDA and OpenMP (abstract) 14:40-15:00 Sean Baccas, Alexander Belozerov, Eike Mueller, Dmitry Nikolaenko and Tobias Weinzierl: Multigrid for ExaHyPE (abstract) ; 15:00-16:00, Tobias Weinzierl and Nick Brown: Opening Remarks Official opening of the HPC/AI Days with welcome messages from Colin Bain (Durham University/PVC Research) Mark Wilkinson (Leicester/DiRAC) Richard Gunn (UKRI) ; 16:00-16:30, Coffee ; 16:30-18:30, AI@HPC 16:30-16:50 Anna Roubickova, Elena Breitmoser, Amrey Krause, Dave McKay, Moritz Linkmann and Jacob Page: SiMLInt: Simulation and Machine Learning Integration (abstract) 16:55-17:15 Kevin Mulder: AI accelerated computational imaging at exascale with uncertainty quantification (abstract) 17:20-17:40 Jeremy Yates, Jeyan Thiyagalingam and Marion Samler: Blueprinting AI for Science at Exascale (BASE-II) (abstract) 17:45-18:05 David Llewellyn-Jones and Tomas Lazauskas: Matching AI Research to HPC Resource through Benchmarking and Processes (abstract) ; 18:15-21:00, ExCALIBUR H&ES ECP Exchange and HPC Networking with DDN The evening will host a networking hang-out sponsored by DDN. Parallel to the event, the ExCALIBUR programme will run a set of light-touch hang-outs: The ExCALIBUR-ECP Hardware & Enabling Software Knowledge Exchange Programme provides financial support for exchange visits of personnel who have been involved in UKRI projects, and those from the USA . The programme has a particular focus on technical Knowledge Transfer aspects and the Hardware & Enabling Software (H&ES) pre-exascale testbed projects funded under the ExCALIBUR initiative. More information is available at https://excalibur.ac.uk/themes/excalibur-ecp-exchange-programme . One of the goals of the ExCALIBUR-ECP H&ES Exchange Programme is to identify opportunities for UK-US collaborative activities which will form the basis of a longer term proposal for an engagement programme. There will be a series of scoping workshops during 2024 covering areas of exascale such as already optimised numerical and IO libraries and applications, MPI and other parallel enabling tools including new compilers, system monitoring tools; parallel profiler and debugger applications. The purpose of this session is to identify potential areas of interest to focus on during the first scoping workshop and to gather feedback and ideas from the community on how to maximise the impact of this new engagement programme. ; 9:00-10:00, Hatem Ltaief The Energy Diet: Trimming Excess in Data Movement for Scientific Applications Did you know that estimating spatial models is one of the main computational challenges in large geospatial data analysis? Traditionally, geospatial data is processed in FP64. The future of simulations is all about exploiting hardware features driven by the AI market for low-precision computations. Modern NVIDIA GPUs lead the charge with huge gains from low-precision computations that directly translate into energy savings. We harness their low-precision computing capabilities to introduce a mixed-precision geospatial modeling approach. Our adaptive precision conversion strategy has turbocharged data modeling, achieving up to a 3x speedup against the full FP64 version while meeting the precision requirements of the application. Our approach is a game-changer for geospatial statisticians, bringing speed, energy efficiency, and precision to the forefront of computational statistics for environmental applications. We further extend these key concepts and demonstrate their impacts on a broad class of scientific applications, including computational biology for genome-wide association studies, computational astronomy for ground-based telescopes, and seismic imaging for CO2 sequestration. (short bio) ; 10:00-12:00, Workflows and programming environments 10:00-10:20 Bob Cregan, Yiannos Stathopoulos and Joshua Reed: Integrating a High Performance Burst Buffer Filesystem with the Slurm Resource Scheduler (abstract) 10:25-10:45 Grenvile Lister, Bryan Lawrence, Jean-Thomas Acquaviva, Konstantinos Chasapis, Mark Goddard, Scott Davidson, David Hassell, Valeriu Predoi, Matt Pryor and Stig Telfer: Practical Computational Storage for Scientific Workflows (abstract) 10:50-11:10 Tom Meltzer: Introducing mdb – a debugger for parallel MPI applications (abstract) 11:15-11:35 Matt Pryor and John Garbutt: The HPC+AI Cloud: flexible and performant infrastructure for HPC and AI workloads (abstract) 11:40-12:00 Gabriel Rodríguez Canal and Nick Brown: Delivering performance and programmer productivity on energy efficient hardware (abstract) ; 12:00-13:00, Lunch ; 13:00-15:00, Benchmarking, training and community 13:00-13:20 Daniel Cole, Robert Welch, James Gebbie-Rayet and Sarah Harris: Establishing the Accessible Computational Regimes for Biomolecular Simulations at Exascale (abstract) 13:25-13:45 Andrew Turner, Marion Weinzierl, Ed Hone and Nick Brown: Building the HPC RSE Community (abstract) 13:50-14:10 Ilektra Christidi, Tuomas Koskela, Mose Giordano, Emily Dubrovska, Jamie Quinn, Tom Deakin, Kaan Olgu, Chris Maynard and David Case: Benchmarking for the exascale (abstract) 14:15-14:35 Chris Rae, Joseph Lee and James Richings: Testing and Benchmarking Machine Learning Accelerators using Reframe (abstract) 14:40-15:00 Neil Chue Hong, Jeremy Cohen, Weronika Filinger, Martin Robinson and Steve Crouch: Developing pathways and structures to support HPC training (abstract) ; 15:00-16:00, Luigi Del Debbio EuroHPC Joint Undertaking A brief overview of the machines available through EuroHPC JU. The talk is enriched with remarks on different access routes (AI, test accounts, regular access, extreme scale calls) and puts special emphasis on routes that are (still) open to UK researchers. The audience will benefit from some insider remarks on how the resource allocation panel works, what good proposals look like, and what distinguishes good from not so good proposals. ; 16:00-16:30, Coffee ; 16:30-18:30, Talent & Careers The pipeline of talent in HPC and large-scale AI computing is fragile and leaking. In this session, we present initiatives that aim to increase the number of colleagues moving into our area and to improve professional development. 16:30-16:45 Georgina Ellis (Logicalis) and Damian Jones (STFC): Why we push for a Student Cluster Competition at CIUK 16:50-17:05 Richard Gunn (EPSRC): Why we are investing in RSE training within ExCALIBUR 17:10-17:25 Clare Jennner and Richard Reagan (DiRAC): Professional development in DiRAC 17:30-17:45 Cristin Merritt (Alces Flight): Investing into WHPC – one way to recruit and retain talent 17:50-18:30 Panel: What skills and training opportunities are missing? We will invite industry partners to serve on the panel besides our speakers (Andy Grant, NVIDIA; t.b.c.). The new panel members will start with a brief presentation what they see lacking in terms of skills among applicants, challenging the initial presentations. After that, the audience is invited to submit questions. ; 18:30-21:00, Poster Session We present posters from Durham’s SIAM Student Chapter. Participants from the UK’s ExCALIBUR projects are invited to bring along their project posters, too. There will be a best poster prize. ; 9:00-10:00, Thomas Hauser (NCAR) and Michele Weiland (EPCC) Working towards net zero computational modelling and simulation in the atmospheric sciences (NCAR) (EPCC) ; 10:00-12:00, Correctness & Debugging, GPUs, Performance Analysis & Tuning – Workshop Wrap-up 10:15-10:35 Tobias Weinzierl: CDP training for RSEs/PDRAs in collaboration with VI-HPS 10:40-10:50 Adam Tuft: the correctness and debugging training 10:50-11:00 Juliana Kwan: the GPU training 11:00-11:10 Gokmen Kilic: the performance analysis training 11:10-11:20 Juliana Kwan: the performance analysis training 11:20-11:30 Phil Hasnip: the performance analysis training 11:30-11:40 Mladen Ivkovic and Pawel Radtke: the performance analysis training 11:40-11:50 Connor Aird: the GPU training – impressions from self-paced learning 11:50-12:00 Gokmen Kilic: training on software carpentries Durham’s Computer Science runs, in close collaboration with Durham’s Advanced Research Computing and DiRAC, a series of professional development workshops for HPC developers. These activities comprise a debugging and correctness workshop series, a sequence of GPU events, and the Performance Analysis Workshop Series where various UK HPC groups study one piece of code over multiple weeks using multiple tools. The Thursday morning session gives the groups the opportunity to report on their experiences both with their codes, the training, and the educational programme overall. They also have the opportunity to highlight missing training ingredients and the impact of professional development on their own careers. ; 12:00-13:00, Lunch ; 13:00-15:00, Community Building and Fostering Diversity (Women in HPC) 13:00-14:00 : Lightning talks Emma Finch: Reflections from Women in HPC: How did we get here and where do we go? Cristin Merrit: Investing in Women in HPC Marion Weinzierl: Why the thing with communities is so hard Alan Real: Diversity… Honestly 14:00-15:00 : Lyceum What is a Lyceum, you ask? Launched at ISC23 by Addison Snell under the name “The Fishbowl,” this session transforms the traditional panel by incorporating diverse voices from the audience, ensuring the discussion remains focused on the needs of session attendees. WHPC have renamed the concept to a Lyceum, which roughly translates to “Forum for All People.” Topics addressed will cover: What are your lessons learnt when building your own (RSE) community? How has improving diversity improved your workplace? Can you share tips on being more inclusive? What is the value of mentoring? How do you effectively onboard new staff members? What are the changes you want to see? ; 15:00-17:00, Guided tour through Durham Castle We have organised two guided tours (25 persons per tour) through Durham’s historic castle. The tour slots will be filled upon registration first-come first-served. Meeting point is 15:40 in front of the Castle entrance. ; 16:30-20:00, Conference Reception The conference reception will be hosted at Durham’s Business School . Please allow some time to get from the conference venue or castle/cathedral up the hill to this building. Refreshments will be served from 16:30 through 18:30. Afterwards, we’ll have a dinner speach by Hans-Joachim Bungartz (TUM): My Own Private GPU Cluster: Greedy AI Folks and a Déjà-vu (short bio) ; 9:00-10:00, Alison Kennedy You Ain’t Green Nothing Yet This talk orbits around some key questions raised by the Pathway to Exascale project: nergy usage – if we are looking at energy to solution, does that mean we should prioritise some science areas over others? Is the Green 500 list something the UKL should take seriously or a gamified gimmick? What’s the role of the RSE community in minimising energy usage or should we be expecting vendors to do more? How do we balance cost in our procurements or outsourcing while ensuring that costs are not kept artificially low by forced labour or unethical employment practices in the supply chain? Should we look to lower UK emissions by shipping our computers and data to other countries and if so what issues does that cause? ; 10:00-12:00, Net Zero 10:00-10:20 Joseph Lee and Eleanor Broadway: Experiences and Challenges in achieving Green AI with HPC systems (abstract) 10:25-10:45 Alastair Basden: Net-zero and DiRAC 10:50-11:10 Maurice Jamieson and Nick Brown: RISC-V: A potential game changer for delivering green HPC? (abstract) 11:15-11:35 Thomas Gruber: ClusterCockpit and EE-HPC: A way to more energy efficiency on HPC systems? (abstract) ; 11:35-12:00, Coffee ; 12:00-13:00, Johannes Doerfert LLVM for HPC and ML; HPC and ML for LLVM In this two-part talk, we will look at LLVM, the foundational infrastructure that powers a significant portion of modern High-Performance Computing (HPC) and Machine Learning (ML) compilers. The Exascale Computing Project (ECP) has recognized LLVM’s pivotal role and aimed to enhance it to influence vendor compilers and provide a pathway for risk mitigation. Reflecting on ECP’s impact on LLVM, we’ll explore the lessons learned and the trajectory ahead. The first part of the talk will spotlight LLVM’s capabilities to support HPC and ML. For both tasks, we must accommodate the expanding array of input languages and the continuously diversifying landscape of computing architectures. In this talk, we look at user facing capabilities via LLVM/Flang and LLVM/libcxx, and cross-language, cross-architecture solutions, like LLVM/Offload and Enzyme. In the second part, we’ll shift focus to the symbiotic relationship between ML, HPC, and LLVM. By harnessing ML techniques, we can optimize various aspects of LLVM, elevating its efficiency and efficacy in compiling code for diverse computing environments. Despite sparse uses of ML in LLVM, early endeavors show promising results. We will introduce the existing infrastructure and ongoing efforts that provide researchers with the tools and data necessary for new novel exploration. Join us as we explore the dynamic interplay between LLVM, HPC, and ML, illuminating the path forward for enhanced compiler infrastructures in the era of exascale computing and beyond.
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