Workshops

Sunday, 11/16/14

The 9th Parallel Data Storage Workshop (PDSW)

The 5th International Workshop on Performance Modelling, Benchmarking and Simulation of High Performance Computer Systems (PMBS14)

IA^3 2014 - Fourth Workshop on Irregular Applications: Architectures and Algorithms

2014 International Workshop on Data Intensive Scalable Computing Systems (DISCS-2014)

Abstract: Existing high performance computing (HPC) systems are designed primarily for workloads requiring high rates of computation. However, the widening performance gap between processors and storage, and trends toward higher data intensity in scientific and engineering applications, suggest there is a need to rethink HPC system architectures, programming models, runtime systems, and tools with a focus on data intensive computing. The 2014 International Workshop on Data Intensive Scalable Computing Systems (DISCS) builds on the momentum generated by its two predecessor workshops, providing a forum for researchers interested in HPC and data intensive computing to exchange ideas and discuss approaches for addressing Big Data challenges. The workshop includes a keynote address and presentation of peer-reviewed research papers, with ample opportunity for informal discussion throughout the day. http://discl.cs.ttu.edu/discs-2014/

5th SC Workshop on Big Data Analytics: Challenges and Opportunities

Abstract: Recent decade has witnessed data explosion, and petabyte sized data archives are not uncommon any more. It is estimated that organizations with high end computing (HEC) infrastructures and data centers are doubling the amount of data that they are archiving every year. On the other hand computing infrastructures are becoming more heterogeneous. The first four workshops held with SC 2010-2013 were a great success. Continuing on this success, we propose to broaden the topic of this workshop with an emphasis on novel middleware (e.g., in situ) infrastructures that facilitate efficient data analytics on big data. The proposed workshop intends to bring together researchers, developers, and practitioners from academia, government, and industry to discuss new and emerging trends in high end computing platforms, programming models, middleware and software services, and outline the data mining and knowledge discovery approaches that can efficiently exploit this modern computing infrastructure. http://web.ornl.gov/sci/knowledgediscovery/CloudComputing/BDAC-SC14/

The 9th Workshop on Workflows in Support of Large-Scale Science (WORKS14)

Abstract: Data Intensive Workflows (a.k.a. scientific workflows) are routinely used in most scientific disciplines today, especially in the context of parallel and distributed computing. Workflows provide a systematic way of describing the analysis and rely on workflow management systems to execute the complex analyses on a variety of distributed resources. This workshop focuses on the many facets of data-intensive workflow management systems, ranging from job execution to service management and the coordination of data, service and job dependencies. The workshop therefore covers a broad range of issues in the scientific workflow lifecycle that include: data intensive workflows representation and enactment; designing workflow composition interfaces; workflow mapping techniques that may optimize the execution of the workflow; workflow enactment engines that need to deal with failures in the application and execution environment; and a number of computer science problems related to scientific workflows such as semantic technologies, compiler methods, fault detection and tolerance. http://works.cs.cf.ac.uk/

Energy Efficient Supercomputing (E2SC)

Ultravis '14: The 9th Workshop on Ultrascale Visualization

7th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS) 2014

Abstract: The 7th workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS) will provide the scientific community a dedicated forum for presenting new research, development, and deployment efforts of large-scale many-task computing (MTC) applications on large scale clusters, clouds, grids, and supercomputers. MTC, the theme of the workshop encompasses loosely coupled applications, which are generally composed of many-tasks to achieve some larger application goal. This workshop will cover challenges that can hamper efficiency and utilization in running applications on large-scale systems, such as local resource manager scalability and granularity, efficient utilization of raw hardware, parallel file-system contention and scalability, data management, I/O management, reliability at scale, and application scalability. We welcome paper submissions in theoretical, simulations, and systems topics with special consideration to papers addressing the intersection of petascale/exascale challenges with large-scale cloud computing. We invite the submission of original research work of 6 pages. For more information, see: http://datasys.cs.iit.edu/events/MTAGS14/.

7th Workshop on High Performance Computational Finance

Innovating the Network for Data Intensive Science

Abstract: Every year SCInet develops and implements the network for the SC conference. This network is state of the art, connects many demonstrators of big data processing infrastructures at the highest linespeeds and newest technologies available and demonstrates the newest functionality. The showfloor network connects to many laboratories worldwide using Lambda connections and NREN networks. This workshop brings together the network researchers and innovators to bring up challenges and novel ideas that stretch SCInet even further. We invite papers that propose and discuss new and novel techniques regarding capacity and functionality of networks, its control and its architecture to be demonstrated at SC14. https://scinet.supercomputing.org/workshop/

NDM’14: Fourth International Workshop on Network-aware Data Management

Abstract: Data sharing and resource coordination among distributed teams are becoming significant challenges every passing year. Networking is one of the most crucial components in the overall system architecture of a data centric environment. Many of the current solutions both in industry and scientific domains depend on the underlying network infrastructure and its performance. There is a need for efficient use of the networking middleware to address increasing data and compute requirements. Main scope of this workshop is to promote new collaborations between data management and networking communities to evaluate emerging trends and current technological developments, and to discuss future design principles of network-aware data management. We will seek contribution from academia, government, and industry to address current research and development efforts in remote data access mechanisms, end-to-end resource coordination, network virtualization, analysis and management frameworks, practical experiences, data-center networking, and performance problems in high-bandwidth networks. http://2014.ndm-meeting.org

Workshop on Education for High Performance Computing (EduHPC)

Abstract: Parallel and Distributed Computing (PDC), especially its aspects pertaining to High Performance Computing (HPC), now permeates most computing activities. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. This workshop on state of art in high performance, parallel, and distributed computing education will comprise contributed as well as invited papers from academia, industry, and other educational and research institutes on topics pertaining to the teaching of PDC and HPC topics in the Computer Science and Engineering, Computational Science, and Domain Science and Engineering curriculum. The emphasis of the workshop will be on the undergraduate education, although graduate education issues are also within scope, and target audience will include attendees among SC-14 Educators, academia, and industry. This effort is in coordination with NSF/TCPP curriculum initiative on parallel and distributed computing (http://www.cs.gsu.edu/~tcpp/curriculum/index.php). This workshop was the first education-related regular workshop held at SC13. http://www.cs.gsu.edu/~tcpp/curriculum/?q=edupdhpc

Integrating Computational Science Into the Curriculum: Models and Challenges

Abstract: Computational science has become the third path to discovery in science and engineering along with theory and experimentation. It is central to advancing research and is essential in making U.S. industry competitive in the face of international market competition. Yet, many universities have not integrated computational science into their curricula. This workshop will focuses on the challenges of curriculum reform for computational science and the examples, alternative approaches, and existing and emerging resources that can be used to facilitate those changes. Participants will review competencies and models of computational science programs, learn about the demand for a workforce with computational modeling skills, and available resources and opportunities. Participants will analyze their current curriculum and expertise and devise a draft plan of action to advance computational science on their own campuses. https://www.osc.edu/~sgordon/sc14

Second Workshop on Sustainable Software for Science: Practice and Experiences
(WSSSPE 2)

Abstract: Progress in scientific research is dependent on the quality and accessibility of software at all levels and it is critical to address many new challenges related to the development, deployment, and maintenance of reusable software. In addition, it is essential that scientists, researchers, and students are able to learn and adopt a new set of software-related skills and methodologies. Established researchers are already acquiring some of these skills, and in particular a specialized class of software developers is emerging in academic environments as an integral and embedded part of successful research teams. Following a first workshop at SC13, WSSSPE2 will use reviewed short papers, keynotes speakers, breakouts and panels to provide a forum for discussion of the challenges, including both positions and experiences. All material and discussions will be archived for continued discussion. The workshop is anticipated to lead to a special issue of the Journal of Open Research Software.
http://wssspe.researchcomputing.org.uk/wssspe2/

5th Annual Energy Efficient HPC Working Group Workshop

Abstract: This annual workshop is organized by the Energy Efficient HPC Working Group (http://eehpcwg.lbl.gov/). It provides a strong blended focus that includes both the facilities and system perspectives; from architecture through design and implementation. The topics reflect the activities and interests of the EE HPC WG, which is a group with over 400 members from ~20 different countries. Speakers from SC13 included Chris Malone, Google, Dan Reed, University of Iowa and Jack Dongarra, University of Tennessee. There were also panel sessions covering all of the EE HPC WG Team activities. Panel topics from SC13 included lessons learned from commissioning liquid cooling building infrastructure, a methodology for improved quality power measurements for benchmarking and re-thinking the PUE metric. Dynamic speakers and interesting panel sessions characterized the SC13 workshop and can be expected for the SC14 workshop as well. http://eehpcwg.lbl.gov/sc14/workshops

4th Workshop on Python for High Performance and Scientific Computing (PyHPC)

Workshop on Accelerator Programming using Directives (WACCPD)

Abstract: The nodes of many current HPC platforms are equipped with hardware accelerators that offer high performance with power benefits. In order to enable their use in scientific application codes without undue loss of programmer productivity, several recent efforts have been devoted to providing directive-based programming interfaces. These APIs promise application portability and a means to avoid low-level accelerator-specific programming. Many application developers prefer incremental ways to port codes to accelerator using directives without adding more complexity to their code. This workshop explores the use of these directive sets their implementations and experiences with their deployment in HPC applications. The workshop aims at bringing together the user and tools community to share their knowledge and experiences of using directives to program accelerators. http://openacc.org/waccpd14

5th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA)

Abstract: Novel scalable scientific algorithms are needed to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points. Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. With the advent of heterogeneous compute nodes that employ standard processors and GPGPUs, scientific algorithms need to match these architectures to extract the most performance. Key science applications require novel mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale HPC systems. http://www.csm.ornl.gov/srt/conferences/Scala/2014/index.html

Workshop on Domain-Specific Languages and High-Level Frameworks for High-Performance Computing

Abstract: Multi-level heterogeneous parallelism and deep memory hierarchies in current and emerging computer systems makes their programming very difficult. Domain-specific languages (DSLs) and high-level frameworks (HLFs) provide convenient abstractions, shielding application developers from much of the complexity of explicit parallel programming in standard programming languages like C/C++/Fortran. However, achieving scalability and performance portability with DSLs and HLFs is a significant challenge. For example, very few high-level frameworks can make effective use of accelerators such as GPUs and FPGAs. This workshop seeks to bring together developers and users of DSLs and HLFs to identify challenges and discuss solution approaches for their effective implementation and use on massively parallel systems. http://hpc.pnl.gov/conf/wolfhpc/2014/

ExaMPI14 - Exascale MPI 2014

Hardware-Software Co-Design for High Performance Computing (Co-HPC)

Abstract: Hardware-software co-design involves the concurrent design of hardware and software components of complex computer systems, whereby application requirements influence architecture design and hardware constraints influence design of algorithms and software. Concurrent design of hardware and software has been used for the past two decades for embedded systems in automobiles, avionics, mobile devices, and other such products, to optimize for design constraints such as performance, power, and cost. HPC is facing a similar challenge as we move towards the exascale era, with the necessity of designing systems that run large-scale simulations with high performance while meeting cost and energy consumption constraints. This workshop will invite participation from researchers who are investigating the interrelationships between algorithms/applications, systems software, and hardware, and who are developing methodologies and tools for hardware-software co-design for HPC. http://codaash.org/co-hpc/

The LLVM Compiler Infrastructure in HPC

Abstract: LLVM, winner of the 2012 ACM Software System Award, has become an integral part of the software-development ecosystem for optimizing compilers, dynamic-language execution engines, source-code analysis and transformation tools, debuggers and linkers, and a whole host of programming-language and toolchain-related components. Now heavily used in both academia and industry, where it allows for rapid development of production-quality tools, LLVM is increasingly used in work targeted at high-performance computing. Research in and implementation of programming-language analysis, compilation, execution and profiling has clearly benefited from the availability of a high-quality, freely-available infrastructure on which to build. This workshop will focus on recent developments, from both academia and industry, that build on LLVM to advance the state of the art in high-performance computing.
http://llvm-hpc-workshop.github.io/

High Performance Technical Computing in Dynamic Languages

Abstract: Dynamic high--level languages such as Julia, Maple®, Mathematica®, MATLAB®, Octave, Python, R, and Scilab are rapidly gaining popularity with computational scientists and engineers, who often find these languages more productive for rapid prototyping of numerical simulation codes. However, writing legible yet performant code in dynamic languages remains challenging, which limits the scalability of code written in such languages, particularly when deployed on massively parallel architectures such as clusters, cloud servers, and supercomputers. This workshop aims to bring together users, developers, and practitioners of dynamic technical computing languages, regardless of language, affiliation or discipline, to discuss topics of common interest. Examples of such topics include performance, software development, abstractions, composability and reusability, best practices for software engineering, and applications in the context of visualization, information retrieval and big data analytics. http://jiahao.github.io/hptcdl-sc14/

VISTech Workshop 2014: Visualization Infrastructure & Systems Technology

Abstract: Human perception is centered on the ability to process information contained in visible light, and our visual interface is a tremendously powerful data processor. Every day we are inundated with staggering amounts of digital data. For many types of computational research, the field of visualization is the only viable means of extracting information and developing understanding from this data. Integrating our visual capacity with technological capabilities has tremendous potential for transformational science. We seek to explore the intersection between human perception and large-scale visual analysis through the study of visualization interfaces and interactive displays. This rich intersection includes: virtual reality systems, visualization through augmented reality, large scale visualization systems, novel visualization interfaces, high-resolution interfaces, mobile displays, and visualization display middleware. The VISTech workshop will provide a space for experts in the large-scale visualization technology field and users to come together to discuss state-of-the art technologies for visualization and visualization laboratories. https://www.tacc.utexas.edu/sc14/workshops/vistech

ATIP Workshop on Japanese Research Toward Next-Generation Extreme Computing

Abstract: The Asian Technology Information Program (ATIP) proposes to hold a workshop at SC14 (New Orleans LA) titled “Japanese Research Toward Next-Generation Extreme Computing.” This workshop will include a significant set of presentations, posters, and panel discussions by Japanese researchers from universities, government laboratories, and industry. Participants will address topics including national exascale plans as well as the most significant hardware and software research. A key aspect of the proposed workshop will be the unique opportunity for members of the US research community to interact and have direct discussions with the top Japanese scientists who are participating. SC is the ideal venue for this workshop, because after the US, more SC participants come from Japan than from any other country. There are a multitude of exhibitor booths, research papers, and panels, etc. with Japanese content and Japanese researchers frequently win awards for best performance, greenest system, fastest networks, etc.
http://atip.org/upcoming-events/japanese-research-toward-exascale-computing.html

Extreme-Scale Programming Tools

Visual Performance Analytics – VPA

Abstract: Over the last decades an incredible amount of resources has been devoted to building ever more powerful supercomputers. However, exploiting the full capabilities of these machines is becoming exponentially more difficult with each generation of hardware. To help understand and optimize the behavior of massively parallel simulations the performance analysis community has created a wide range of tools to collect performance data, such as flop counts or network traffic at the largest scale. However, this success has created new challenges, as the resulting data is too large and too complex to be analyzed easily. Therefore, new automatic analysis and visualization approaches must be developed to allow application developers to intuitively understand the multiple, interdependent effects that their algorithmic choices have on the final performance. This workshop intends to bring together researchers from performance analysis and visualization to discuss new approaches of combining both areas to analyze and optimize large-scale applications. http://cedmav.org/vpa2014

The Second International Workshop on Software Engineering for High Performance Computing in Computational Science & Engineering (SE-HPCCSE 2014)

Abstract: Researchers are increasingly using high performance computing (HPC), including GPGPUs and computing clusters, for computational science & engineering (CSE) applications. Unfortunately, when developing HPC software, developers must solve reliability, availability, and maintainability problems in extreme scales, understand domain specific constraints, deal with uncertainties inherent in scientific exploration, and develop algorithms that use computing resources efficiently. Software engineering (SE) researchers have developed tools and practices to support development tasks, including: validation & verification, design, requirements management and maintenance. HPC CSE software requires appropriately tailored SE tools/methods. The SE-HPCCSE workshop addresses this need by bringing together members of the SE and HPC CSE communities to share perspectives, present findings from research and practice, and generating an agenda to improve tools and practices for developing HPC CSE software. In the 2013 edition of this workshop, the discussion focused around a number of interesting topics, including: bit-by-bit vs. scientific validation and reproducibility.
http://sehpccse14.cs.ua.edu/

9th Gateway Computing Environments Workshop (GCE14)

Abstract: Science today is increasingly digital and collaborative. The impact of high-end computing has exploded as new communities accelerate their research through science gateways such as CIPRES and iPlant. Currently 40% of the NSF XSEDE program’s users come through science gateways. As datasets increase in size, communities increasingly use gateways for remote analysis. Software has scalable broader impact when researchers set up web interfaces to up-to-date codes running on high-end resources. Gateways increasingly connect varied elements of cyberinfrastructure - instruments, streaming sensor data, data stores and computing resources of all types. Online collaborative tools allow the sharing of both source data and subsequent analyses, speeding discovery. The important work of gateway development, however is often done in an isolated, hobbyist environment. Leveraging knowledge about common tasks frees developers to focus on higher-level, grand-challenge functionality in their discipline. This workshop will feature case studies and an opportunity to share common experiences. http://sciencegateways.org/upcoming-events/gce14

Workshop on Best Practices for HPC Training

Abstract: HPC facilities face the challenge of serving a diverse user base with different skill levels and needs. Some users run precompiled applications, while others develop complex, highly optimized codes. Therefore, HPC training must include a variety of topics at different levels to cater to a range of skillsets. As centers worldwide install increasingly heterogeneous architectures, training will be even more important and in greater demand. A good training program can have many benefits: less time spent on rudimentary assistance, efficient utilization of resources, increased staff-user interaction, and training of the next generation of users. Unfortunately, the most successful training strategies at HPC facilities are not documented. This workshop aims to expose best practices for delivering HPC training. Topics will include: methods of delivery, development of curricula, optimizing duration, surveys and evaluations, metrics and determining success. Lastly, the workshop aims to develop collaborative connections between participating HPC centers. http://hpctraining.github.io/SC14workshop/

1st International Workshop on HPC User Support Tools (HUST-14)

The 5th International Workshop on Data-Intensive Computing in the Clouds

Women in HPC