Ecological networks comprised of diverse species interacting within habitats describe iconic self-organized complex systems. Their nodes are dynamic, highly heterogeneous and constantly evolving in response to their changing environment. Yet, these ungoverned highly diverse and complex ecological networks remain remarkably robust despite catastrophes that destroy huge fractions of the nodes and cause permanent alterations of the environment. Recent work to model these system employs network informatics, visualizations, and high performance computing simulations. Exploring these models demands that the parameters are both fit using rigorous informatics and also varied in innumerable combinations using efficient and powerful computer architectures. This presentation will describe the mechanics of this endeavor as well as several of the most interesting research results including the robustness enhancing roles of network architecture and organism's size and behavioral nonlinearities as well as network effects of species' loss and invasions. A particular future for such endeavors will also described with special attention to implications for general network science.
{"title":"Elucidating laws of the unruly jungle with computational approaches to complex ecological networks","authors":"Neo D. Martinez","doi":"10.1145/1188455.1188512","DOIUrl":"https://doi.org/10.1145/1188455.1188512","url":null,"abstract":"Ecological networks comprised of diverse species interacting within habitats describe iconic self-organized complex systems. Their nodes are dynamic, highly heterogeneous and constantly evolving in response to their changing environment. Yet, these ungoverned highly diverse and complex ecological networks remain remarkably robust despite catastrophes that destroy huge fractions of the nodes and cause permanent alterations of the environment. Recent work to model these system employs network informatics, visualizations, and high performance computing simulations. Exploring these models demands that the parameters are both fit using rigorous informatics and also varied in innumerable combinations using efficient and powerful computer architectures. This presentation will describe the mechanics of this endeavor as well as several of the most interesting research results including the robustness enhancing roles of network architecture and organism's size and behavioral nonlinearities as well as network effects of species' loss and invasions. A particular future for such endeavors will also described with special attention to implications for general network science.","PeriodicalId":115940,"journal":{"name":"Proceedings of the 2006 ACM/IEEE conference on Supercomputing","volume":"418 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131825841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With TORQUE Resource Manager now reaching over 10,000 downloads per month and use across thousands of leading sites representing commercial, government, and academic organizations, we invite all TORQUE users to meet and discuss TORQUE with the professional developers, community volunteers other members who use and have contributed to the TORQUE project.Here we will discuss the current state of TORQUE including some of the more recent enhancements and capabilities along with the road map for the upcoming year. We will also provide a time for TORQUE users to share experiences, best practices, and new needs.
{"title":"TORQUE resource manager","authors":"Garrick Staples","doi":"10.1145/1188455.1188464","DOIUrl":"https://doi.org/10.1145/1188455.1188464","url":null,"abstract":"With TORQUE Resource Manager now reaching over 10,000 downloads per month and use across thousands of leading sites representing commercial, government, and academic organizations, we invite all TORQUE users to meet and discuss TORQUE with the professional developers, community volunteers other members who use and have contributed to the TORQUE project.Here we will discuss the current state of TORQUE including some of the more recent enhancements and capabilities along with the road map for the upcoming year. We will also provide a time for TORQUE users to share experiences, best practices, and new needs.","PeriodicalId":115940,"journal":{"name":"Proceedings of the 2006 ACM/IEEE conference on Supercomputing","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133029949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The size of High Performance Compute Clusters has been growing rapidly, sometimes scaling to tens of thousands of nodes. A key aspect of HPC performance is the characteristics and performance of the network. Within HPC, each node within the cluster needs to be able to communicate with other resources - storage, for example - and with other nodes in the cluster for control and inter-process communications. As a cluster scales in size, careful consideration with respect to IPC, management and storage access is required to ensure the highest application performance and availability.This session will present best-practices for building large networks to support the most demanding HPC environments, and includes proven design recommendations for building scalable Ethernet, InfiniBand and Storage fabrics. Additionally, troubleshooting techniques, tips and tools to simplify management of infrastructure will be discussed in this session.
{"title":"Network topologies for high performance computing: ethernet, InfiniBand and storage","authors":"N. Kelshikar","doi":"10.1145/1188455.1188730","DOIUrl":"https://doi.org/10.1145/1188455.1188730","url":null,"abstract":"The size of High Performance Compute Clusters has been growing rapidly, sometimes scaling to tens of thousands of nodes. A key aspect of HPC performance is the characteristics and performance of the network. Within HPC, each node within the cluster needs to be able to communicate with other resources - storage, for example - and with other nodes in the cluster for control and inter-process communications. As a cluster scales in size, careful consideration with respect to IPC, management and storage access is required to ensure the highest application performance and availability.This session will present best-practices for building large networks to support the most demanding HPC environments, and includes proven design recommendations for building scalable Ethernet, InfiniBand and Storage fabrics. Additionally, troubleshooting techniques, tips and tools to simplify management of infrastructure will be discussed in this session.","PeriodicalId":115940,"journal":{"name":"Proceedings of the 2006 ACM/IEEE conference on Supercomputing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133533860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Patient safety training using advanced medical and network technology","authors":"S. Small","doi":"10.1145/1188455.1188773","DOIUrl":"https://doi.org/10.1145/1188455.1188773","url":null,"abstract":"","PeriodicalId":115940,"journal":{"name":"Proceedings of the 2006 ACM/IEEE conference on Supercomputing","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133869984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Post-secondary and corporate programs in science and engineering have traditionally made good use of internship opportunities to identify, mentor and develop students in their specialties. Computer and computational sciences, especially in academia and research laboratories may not be making as effective use of internship opportunities. In discussing why they do not consider including students in their development projects, staff and management often cite personal lack of time, mentoring skills, and money as barriers to what they would consider an effective internship initiative.This BOF will provide an opportunity for students, supervisors, and other interested people to talk about how to identify internship opportunities and deal with perceived barriers that inhibit sites from offering pre-service opportunities to high school and college students. Discussions will focus on sharing successful strategies for capitalizing on the enthusiasm and availability of the next wave of scientists and technologists.
{"title":"Internships and mentoring in high performance computing environments","authors":"L. McGinnis","doi":"10.1145/1188455.1188498","DOIUrl":"https://doi.org/10.1145/1188455.1188498","url":null,"abstract":"Post-secondary and corporate programs in science and engineering have traditionally made good use of internship opportunities to identify, mentor and develop students in their specialties. Computer and computational sciences, especially in academia and research laboratories may not be making as effective use of internship opportunities. In discussing why they do not consider including students in their development projects, staff and management often cite personal lack of time, mentoring skills, and money as barriers to what they would consider an effective internship initiative.This BOF will provide an opportunity for students, supervisors, and other interested people to talk about how to identify internship opportunities and deal with perceived barriers that inhibit sites from offering pre-service opportunities to high school and college students. Discussions will focus on sharing successful strategies for capitalizing on the enthusiasm and availability of the next wave of scientists and technologists.","PeriodicalId":115940,"journal":{"name":"Proceedings of the 2006 ACM/IEEE conference on Supercomputing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129161766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Leopold Grinberg, S. Dong, J. Noble, A. Yakhot, G. Karniadakis, N. Karonis
The human arterial tree consists of a complex network of branching blood vessels leading from the heart to arterioles, capillaries, and venules - comprising the microcirculation. The numerical simulation of the blood flow in a single part of the human arterial tree requires hundreds of CPUs; a full human arterial tree will require thousands of CPUs. Nowadays, we can use geographically distributed supercomputers connected by a fast network to perform large-scale simulations.Nektar-G2 is the grid-enabled version of Nektar, software developed at Brown University, that allows to solve problems on geographically distributed supercomputers. The topology-aware feature of MPICH-G2 is utilized to enforce an efficient data distribution strategy. Multi-level message passing algorithms minimizes the inter-site communication. Our ultimate goal is to model blood flow interaction of different regions of the cardiovascular system and to establish a biomechanics gateway on the TeraGrid.During poster presentation we will present results of ongoing project.
{"title":"Human arterial tree simulation on TeraGrid","authors":"Leopold Grinberg, S. Dong, J. Noble, A. Yakhot, G. Karniadakis, N. Karonis","doi":"10.1145/1188455.1188613","DOIUrl":"https://doi.org/10.1145/1188455.1188613","url":null,"abstract":"The human arterial tree consists of a complex network of branching blood vessels leading from the heart to arterioles, capillaries, and venules - comprising the microcirculation. The numerical simulation of the blood flow in a single part of the human arterial tree requires hundreds of CPUs; a full human arterial tree will require thousands of CPUs. Nowadays, we can use geographically distributed supercomputers connected by a fast network to perform large-scale simulations.Nektar-G2 is the grid-enabled version of Nektar, software developed at Brown University, that allows to solve problems on geographically distributed supercomputers. The topology-aware feature of MPICH-G2 is utilized to enforce an efficient data distribution strategy. Multi-level message passing algorithms minimizes the inter-site communication. Our ultimate goal is to model blood flow interaction of different regions of the cardiovascular system and to establish a biomechanics gateway on the TeraGrid.During poster presentation we will present results of ongoing project.","PeriodicalId":115940,"journal":{"name":"Proceedings of the 2006 ACM/IEEE conference on Supercomputing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134090473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V2 = E - (M): Increased Velocity results directly from subtracting rotating Mass of storage devices from your application's Energywww.ViON.com/HyperStor - application of advanced memory devices to dramatically enhance cluster systems response.Exchange milliseconds for microseconds (1,000 fold improvement) to gain depth, breadth or simply reduce your response time. Pinpoint application of ViON's new HyperStor memory devices to HPC infrastructure will result in performance improvements ranging from 100% to 1500%, depending on your system's architecture. By employing the latest technology against the "weakest link" in your architecture, you can realize any of the above referenced benefits, or in many cases, a mix of them all.
V2 = E - (M):速度的提高直接来自于从应用程序的能量中减去存储设备的旋转质量www.ViON.com/HyperStor -应用先进的存储设备来显着增强集群系统的响应。将毫秒转换为微秒(改进1000倍)，以获得深度、广度或缩短响应时间。根据您的系统架构，将ViON的新型HyperStor存储设备精确应用于HPC基础设施将带来100%到1500%的性能提升。通过采用最新的技术来对付体系结构中的“最薄弱环节”，您可以实现上面提到的任何好处，或者在许多情况下，实现所有好处的混合。
{"title":"Advanced memory devices to enhance cluster performance","authors":"Mike Jones","doi":"10.1145/1188455.1188753","DOIUrl":"https://doi.org/10.1145/1188455.1188753","url":null,"abstract":"V2 = E - (M): Increased Velocity results directly from subtracting rotating Mass of storage devices from your application's Energywww.ViON.com/HyperStor - application of advanced memory devices to dramatically enhance cluster systems response.Exchange milliseconds for microseconds (1,000 fold improvement) to gain depth, breadth or simply reduce your response time. Pinpoint application of ViON's new HyperStor memory devices to HPC infrastructure will result in performance improvements ranging from 100% to 1500%, depending on your system's architecture. By employing the latest technology against the \"weakest link\" in your architecture, you can realize any of the above referenced benefits, or in many cases, a mix of them all.","PeriodicalId":115940,"journal":{"name":"Proceedings of the 2006 ACM/IEEE conference on Supercomputing","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133625080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cluster computing is a disruptive force that has quickly reshaped the HPC market and rapidly gained acceptance as a solution to an ever-increasing number of business and research problems in the data center. To sustain, and accelerate the growth of grid and related fields, we need a set of reference architectures, implementations and technology standards that will enable interoperable components and an ubiquitous computing experience.This panel will debut the initiative to establish standards to discuss and implement grid systems. Industry and academic representatives will debate current challenges in grid computing, why we need standards, how we should talk about grid, what grid will mean to the industry for the next ten years, and how grid is a spring board for academics to take HPC, virtualization, and distributed computing to new heights. During the Q&A period, attendees will have an opportunity to voice their concerns or support of initiatives addressed.
{"title":"What's inside the grid? a discussion of standards and the future of computing","authors":"Gary Tyreman, Mark Linesch, S. Wheat, Andre Hill","doi":"10.1145/1188455.1188529","DOIUrl":"https://doi.org/10.1145/1188455.1188529","url":null,"abstract":"Cluster computing is a disruptive force that has quickly reshaped the HPC market and rapidly gained acceptance as a solution to an ever-increasing number of business and research problems in the data center. To sustain, and accelerate the growth of grid and related fields, we need a set of reference architectures, implementations and technology standards that will enable interoperable components and an ubiquitous computing experience.This panel will debut the initiative to establish standards to discuss and implement grid systems. Industry and academic representatives will debate current challenges in grid computing, why we need standards, how we should talk about grid, what grid will mean to the industry for the next ten years, and how grid is a spring board for academics to take HPC, virtualization, and distributed computing to new heights. During the Q&A period, attendees will have an opportunity to voice their concerns or support of initiatives addressed.","PeriodicalId":115940,"journal":{"name":"Proceedings of the 2006 ACM/IEEE conference on Supercomputing","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133267870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cluster Storage and File System TechnologiesTo meet the demands of increasingly hungry cluster applications, cluster-based distributed storage technologies are now capable of delivering performance scaling 10's to 100's of GB/sec. This tutorial will examine current state-of-the-art high performance file systems and the underlying technologies employed to deliver scalable performance across a range of scientific and industrial applications.The first half of the tutorial provides an in-depth description of the core features common across most high-performance file systems; including details of datapath design, decoupled and scalable metadata operations, data layout techniques, failover techniques, scalable reconstruction, storage interfaces and security. The second half describes the design trade-offs found in both open-source and commercial solutions including Lustre, GPFS, Parallel NFS and Panasas.
{"title":"Cluster storage and file system technologies","authors":"B. Welch, M. Unangst","doi":"10.1145/1188455.1188678","DOIUrl":"https://doi.org/10.1145/1188455.1188678","url":null,"abstract":"Cluster Storage and File System TechnologiesTo meet the demands of increasingly hungry cluster applications, cluster-based distributed storage technologies are now capable of delivering performance scaling 10's to 100's of GB/sec. This tutorial will examine current state-of-the-art high performance file systems and the underlying technologies employed to deliver scalable performance across a range of scientific and industrial applications.The first half of the tutorial provides an in-depth description of the core features common across most high-performance file systems; including details of datapath design, decoupled and scalable metadata operations, data layout techniques, failover techniques, scalable reconstruction, storage interfaces and security. The second half describes the design trade-offs found in both open-source and commercial solutions including Lustre, GPFS, Parallel NFS and Panasas.","PeriodicalId":115940,"journal":{"name":"Proceedings of the 2006 ACM/IEEE conference on Supercomputing","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133425013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Seymour Cray award lecture","authors":"Tadashi Watanabe","doi":"10.1145/1188455.1188664","DOIUrl":"https://doi.org/10.1145/1188455.1188664","url":null,"abstract":"","PeriodicalId":115940,"journal":{"name":"Proceedings of the 2006 ACM/IEEE conference on Supercomputing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122342043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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