[hpc-announce] EUROPAR 2024. CALL FOR WORKSHOPS

[JESUS CARRETERO PEREZ]

30th International European Conference on Parallel and Distributed
Computing (Euro-Par 2024)
August 26 - 30, 2024, University Carlos III of Madrid, Madrid, Spain
In cooperation with ACM/SIGHPC

THe call for workshops is open!    This year we have a nice list of
workshops associated with the conference.

See below the list and the link to each workshop and choose the one
that fits with your research topics.
More info:

https://urldefense.us/v3/__https://2024.euro-par.org/workshops/workshops/__;!!G_uCfscf7eWS!Zs9d0WwpIHLDolsgJG2Bxxmw4x2njuqYY9utroEo7x5jhtZ8lWBMI5quKkIHE19PlpXbAuVzkSv20Yvcf2rVR40luvbl$ 

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HETEROPAR: 22nd International Workshop on Algorithms, Models and Tools
for Parallel Computing on Heterogeneous Platforms
https://urldefense.us/v3/__https://bqdkj.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeG13DKfBrU2g1EaZxZmo/pBfuHSgtCY4j__;!!G_uCfscf7eWS!Zs9d0WwpIHLDolsgJG2Bxxmw4x2njuqYY9utroEo7x5jhtZ8lWBMI5quKkIHE19PlpXbAuVzkSv20Yvcf2rVR97PANBy$ 

Heterogeneity is emerging as one of the most profound and challenging
characteristics of today's parallel environments. From the macro
level, where networks of distributed computers composed of different
node architectures are interconnected with potentially heterogeneous
networks, to the micro level, where deeper memory hierarchies and
different accelerator architectures are increasingly common, the
impact of heterogeneity on all computing tasks is rapidly increasing.
Traditional parallel algorithms, programming environments and tools
designed for older homogeneous multiprocessors will at best achieve a
small fraction of the efficiency and potential performance that we
should expect from parallel computing in tomorrow's highly diverse and
mixed environments. New ideas, innovative algorithms, and specialised
programming environments and tools are needed to efficiently exploit
these new and diverse parallel architectures. The workshop aims to
provide a forum for researchers working on algorithms, programming
languages, tools, and theoretical models aimed at efficiently solving
problems on heterogeneous platforms.

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AMTE: Asynchronous Many-Task systems for Exascale 2024
https://urldefense.us/v3/__https://bqdkj.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeG7ufTU92eCA73tJvsN4/CM771gVXaF9j__;!!G_uCfscf7eWS!Zs9d0WwpIHLDolsgJG2Bxxmw4x2njuqYY9utroEo7x5jhtZ8lWBMI5quKkIHE19PlpXbAuVzkSv20Yvcf2rVR_jMXJSt$ 

Supercomputers are now beginning to break the exascale barrier, and
tremendous amounts of work have been invested in identifying and
overcoming the challenges leading up to this moment. These challenges
include load-balancing, fast data transfers, and efficient resource
utilization. Task-based models and runtime systems have shown that it
is possible to address these challenges by providing additional
mechanisms such as oversubscription, task/data locality, shared
memory, and data dependence-driven execution. This workshop explores
the advantages of task-based programming on modern and future HPC
systems. It will gather developers, users, and proponents of these
models and systems to share experience, discuss how they meet the
challenges posed by Exascale system architectures, and explore
opportunities for increased performance, robustness, and full-system
utilization.

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EuroQHPC: European Workshop on Quantum Computing for High-Performance Computing
https://urldefense.us/v3/__https://bqdkj.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeGEm7cJ6DoLeCtC3uAxK/rPEKzlHJPw6q__;!!G_uCfscf7eWS!Zs9d0WwpIHLDolsgJG2Bxxmw4x2njuqYY9utroEo7x5jhtZ8lWBMI5quKkIHE19PlpXbAuVzkSv20Yvcf2rVR00mKIru$ 

Quantum Computing (QC) offers a disruptive landscape to
High-Performance Computing (HPC). The integration of both is still a
research topic, including how to tackle hybrid classical-quantum
applications.
The first experiences of parallel quantum computing have been executed
during the last few years, and a modular architecture has been
proposed by some researchers and vendors. At the application level,
although not new because the first proposed algorithms are more than
20 years old, parallel quantum computing is a research topic that is
gaining momentum. In the short term, it can include only QPUs with
classical communications, but in the future could integrate quantum
communications as well. A modification to MPI has been proposed to
include new primitives for quantum operations. This workshop intends
to showcase research works related to topics linked with this
classical-quantum integration objective, at the different levels of
the hardware/software stack, from applications to hardware.

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PHYSHPC: Workshop in High-Performance Computing in Physics
https://urldefense.us/v3/__https://bqdkj.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeGLdZl83OyV8IiUnsTXa/LPYmItksFBiA__;!!G_uCfscf7eWS!Zs9d0WwpIHLDolsgJG2Bxxmw4x2njuqYY9utroEo7x5jhtZ8lWBMI5quKkIHE19PlpXbAuVzkSv20Yvcf2rVR-_oc5Zz$ 

Research in natural sciences like physics and chemistry is
increasingly moving towards massive use of high-performance computing
systems to numerically solve problems for which no analytical
solutions are known. We are currently at an unprecedented favorable
juncture in Europe due to the investments made through the Horizon
Europe Programme, which has invested substantial resources in
constructing high-performance computing infrastructure to achieve
Exa-scale capabilities. In this scenario, it is crucial to design
codes to exploit the overall set of available resources optimally,
permitting them to scale to wider and finer domains in both space and
time, thus enabling more insightful applications to natural sciences.
Scientific codes sometimes suffer from the lack of state-of-the-art
solutions proposed by computer science, like optimized data structures
reducing memory space footprint, fast stencil algorithms, and
conflict-free write procedures specifically developed for many-core
accelerators like GPUs or load-balancing routines for both when and
how to load balance for high-performance computing clusters.
Nevertheless, such codes often embed original algorithmic solutions
and data structures that could inspire the development of new
algorithms and tools or improve existing ones in computer science. The
encounter between natural science and computer science could represent
an enriching opportunity for all disciplines involved. Aiming to feed
this collaboration, the workshop is intended to be an
interdisciplinary forum for comparison and discussion between natural
science and computer science to establish a synergy between these
disciplines and favour the advancement of knowledge in each of them.
Authors are encouraged to submit original, unpublished research or
critical reviews on algorithms, models and tools for parallel
computing applied to scientific problems with emphasis on original
solutions and open issues.

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RISCVHPC: International workshop on RISC-V for HPC
https://urldefense.us/v3/__https://bqdkj.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeGSV1tx0a8ecOXnXqm7q/rBeSDKVynxaU__;!!G_uCfscf7eWS!Zs9d0WwpIHLDolsgJG2Bxxmw4x2njuqYY9utroEo7x5jhtZ8lWBMI5quKkIHE19PlpXbAuVzkSv20Yvcf2rVR9T9NWn-$ 

RISC-V is an open standard Instruction Set Architecture (ISA) which
enables the open development of CPUs and a shared common software
ecosystem. There are already over 15 billion RISC-V cores, which is
accelerating rapidly. Nonetheless, for all the successes that RISC-V
has faced, it is yet to become popular in HPC. Recent advances
however, such as the vectorisation standard and high performance
RISC-V-based CPUs and accelerators, mean that this technology is
becoming a more realistic proposition for our workloads. This workshop
aims to connect those currently involved in RISC-V with the wider HPC
community. We look to bring together RISC-V experts with scientific
software developers, vendors, and supercomputing center operators to
explore the advantages, challenges, and opportunities that RISC-V can
bring to HPC. This is being organised by the RISC-V HPC SIG, which we
aim to expand with a range of HPC expertise and viewpoints, enabling
interested attendees to then participate in this field beyond the
workshop and help drive one of the most exciting open-source
technological activities of our time.

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DYNRESHPC: 3rd EuroHPC Workshop on Dynamic Resources in HPC
https://urldefense.us/v3/__https://bqdkj.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeGZMU2lxlIo6UN6Hp4i6/SUWyOtZQ4rs-__;!!G_uCfscf7eWS!Zs9d0WwpIHLDolsgJG2Bxxmw4x2njuqYY9utroEo7x5jhtZ8lWBMI5quKkIHE19PlpXbAuVzkSv20Yvcf2rVR6SgOJZE$ 

The current static usage model of HPC systems is becoming increasingly
inefficient. This is driven by the continuously growing complexity and
heterogeneity of system architectures, combined with the increased
usage of coupled applications, the need for strong scaling with
extreme scale parallelism, and the increasing reliance on complex and
dynamic workflows.  Consequently, we see a rise in research on systems
supporting dynamically varying resources, middleware software, and
applications, which can adjust resource usage dynamically to extract
maximum efficiency. By providing intelligent global coordination of
resource usage through runtime scheduling of computation, network
usage, and I/O across all components of the system architecture,
dynamic resource HPC systems can maximize the exploitation of the
available resources while at the same time minimizing the overall
makespan of applications in many, if not most, cases.  Dynamic
resource management on large-scale HPC platforms is part of several
EuroHPC projects. It poses highly interdisciplinary challenges
concerning, among others, the applications supporting dynamic
resources, extending dynamic resource provisioning to the full system
stack, I/O malleable systems, new applications, and I/O scheduling,
etc. This workshop is planned to be an amplifier of collaborations
around these ideas.

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IECCONT: Next steps in IoT-Edge-Cloud Continuum Evolution: Research and Practice
https://urldefense.us/v3/__https://bqdkj.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeGgDwBauwSxaaCP1nNIM/9Gyan_oMrlRq__;!!G_uCfscf7eWS!Zs9d0WwpIHLDolsgJG2Bxxmw4x2njuqYY9utroEo7x5jhtZ8lWBMI5quKkIHE19PlpXbAuVzkSv20Yvcf2rVR9Bpwfky$ 

This workshop sets the goal of presenting the visionary papers and
talks from research and practice in the evolution of the computing
continuum encompassing IoT, edge and cloud. From the challenges of
system performance, management and ambitious vision towards a single
MetaOS in the continuum, there is a broad set of topics to be
addressed. This call invites for the technical presentations and
interactive workshop sessions, including industrial leaders,
researchers, developers and academics fostering the exchange of
research findings and ideas as well as enabling research cooperation
as well as industrial leadership. This workshop plans to push the
boundaries of what is currently possible with existing Cloud-Edge-IoT
orchestration solutions, paving the way for the future “MetaOS” in a
compute continuum.

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LLVM-GPU: First International Workshop on LLVM for GPUs
https://urldefense.us/v3/__https://bqdkj.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeGn5OKPs7d74g1hllfsc/nBcRXQHm8p5g__;!!G_uCfscf7eWS!Zs9d0WwpIHLDolsgJG2Bxxmw4x2njuqYY9utroEo7x5jhtZ8lWBMI5quKkIHE19PlpXbAuVzkSv20Yvcf2rVR32O_PgE$ 

The LLVM framework is a vast ecosystem that stretches far beyond a
“simple” C/C++ compiler. The variety of programming language and
toolchain-related parts help to support most programming models for
GPUs, including CUDA, HIP, OpenACC, OpenCL, OpenMP, SYCL, and
offloading C++ and Fortran native parallelism. In addition, LLVM
serves as a vehicle for various languages in which parallelism is a
first-class citizen, such as Julia or Chapel. Summarized, LLVM plays a
central role in the GPU offloading landscape, and with the creation of
the LLVM/Offload subproject, we expect features and collaborations in
this space to grow even further and faster. In this workshop, held in
conjunction with the EURO-PAR 2024 conference, researchers are invited
to speak about experiences, extensions, and ideas for GPU usage,
especially those related to LLVM. Through this forum, we believe
industry and academia can come together and exchange thoughts on the
future of (GPU) offloading

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WSCC: 2nd International Workshop on Scalable Compute Continuum
https://urldefense.us/v3/__https://bqdkj.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeGtwqTEpInGYlr0VjySs/hLpT8r7vgAEi__;!!G_uCfscf7eWS!Zs9d0WwpIHLDolsgJG2Bxxmw4x2njuqYY9utroEo7x5jhtZ8lWBMI5quKkIHE19PlpXbAuVzkSv20Yvcf2rVR73Ejq6E$ 

The “Compute Continuum” paradigm promises to manage the heterogeneity
and dynamism of widespread computing resources, aiming to simplify the
execution of distributed applications improving data locality,
performance, availability, adaptability, energy management as well as
other non-functional features. This is made possible by overcoming
resource fragmentation and segregation in tiers, enabling applications
to be seamlessly executed and relocated along a continuum of resources
spanning from the edge to the cloud. Besides consolidated vertical and
horizontal scaling patterns, this paradigm also offers more detailed
adaptation actions that strictly depend on the specific infrastructure
components (e.g., to reduce energy consumption, or to exploit specific
hardware such as GPUs and FPGAs). This enables the enhancement of
latency-sensitive applications, the reduction of network bandwidth
consumption, the improvement of privacy protection, and the
development of novel services aimed at improving living, health,
safety, and mobility. All of this should be achievable by application
developers without having to worry about how and where the developed
components will be executed. Therefore, to unleash the true potential
offered by the Compute Continuum, proactive, autonomous, and
infrastructure-aware management is desirable, if not mandatory,
calling for novel interdisciplinary approaches that exploit
optimization theory, control theory, machine learning, and artificial
intelligence methods.

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HiPES: 1st workshop about High-Performance e-Science Tools and Applications
https://urldefense.us/v3/__https://bqdkj.r.sp1-brevo.net/mk/cl/f/sh/1t6Af4OiGsDhYHbMg2OJnIk1ji7wLG/iz2vA7R8eVHR__;!!G_uCfscf7eWS!Zs9d0WwpIHLDolsgJG2Bxxmw4x2njuqYY9utroEo7x5jhtZ8lWBMI5quKkIHE19PlpXbAuVzkSv20Yvcf2rVR4iN9lRB$ 

In recent years, the convergence of high-performance computing and
eScience has opened new avenues for scientific discovery and
innovation. Researchers across various domains leverage advanced
computational techniques to analyze vast data, simulate complex
systems, and accelerate scientific workflows. The Workshop on
High-Performance eScience Tools and Applications aims to bring
together experts from academia, industry, and government organizations
to discuss the latest developments in this rapidly evolving field and
explore emerging trends, challenges, and opportunities.

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VHPC: 19th Workshop on Virtualization in High-Performance Cloud Computing
https://urldefense.us/v3/__https://bqdkj.r.sp1-brevo.net/mk/cl/f/sh/1t6Af4OiGsE9sznn4OUExYnr7X6g3K/jgt-yTj7GJsA__;!!G_uCfscf7eWS!Zs9d0WwpIHLDolsgJG2Bxxmw4x2njuqYY9utroEo7x5jhtZ8lWBMI5quKkIHE19PlpXbAuVzkSv20Yvcf2rVR3b5DtfP$ 

The Workshop on Virtualization in High-Performance Cloud Computing
(VHPC) brings together researchers and industrial practitioners to
discuss the challenges posed by virtualization in HPC and Cloud
scenarios. It covers various aspects of virtualization across the
software stack, with a focus on the intersection of HPC, containers,
virtualization, and cloud computing. The workshop aims to foster
collaboration, knowledge exchange, and the development of novel
solutions for virtualized computing systems. This year we are calling
the timely topic of GPU hypervisor memory virtualization in support of
high memory LLM training workloads in addition to regular topics
including but not limited to container platforms and unikernel
frameworks, heterogeneous HPC virtualized environments and service
orchestration in virtualized cloud & HPC infrastructures. The workshop
features paper presentations, discussion sections, and lightning
talks. Accepted papers will be published in a Springer LNCS volume.

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HCQS: Hybrid Classical Quantum Systems
https://urldefense.us/v3/__https://bqdkj.r.sp1-brevo.net/mk/cl/f/sh/1t6Af4OiGsEcDi0DSkaA7orgVM5PlO/o6RUTNq11_XO__;!!G_uCfscf7eWS!Zs9d0WwpIHLDolsgJG2Bxxmw4x2njuqYY9utroEo7x5jhtZ8lWBMI5quKkIHE19PlpXbAuVzkSv20Yvcf2rVR4vzp87B$ 

The goal of HCQS is to bring quantum computing to the HPC research
community, helping scientists working in this field to find common
ground in this interdisciplinary field. In this workshop, we want to
attract submissions from computer scientists, mathematicians and
physicists, working on the integration of quantum into HPC
infrastructures. Works on benchmarking hybrid classical quantum
systems, hybrid classical quantum applications, and integration of
classical HPC and quantum hardware are especially welcome.

-- 
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Prof. Jesus Carretero
General co-chair
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