Search Results - "Carothers, Christopher"

Enabling Parallel Simulation of Large-Scale HPC Network Systems by Mubarak, Misbah, Carothers, Christopher D., Ross, Robert B., Carns, Philip

“…With the increasing complexity of today's high-performance computing (HPC) architectures, simulation has become an indispensable tool for exploring the design…”
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The future of scientific workflows by Deelman, Ewa, Peterka, Tom, Altintas, Ilkay, Carothers, Christopher D, van Dam, Kerstin Kleese, Moreland, Kenneth, Parashar, Manish, Ramakrishnan, Lavanya, Taufer, Michela, Vetter, Jeffrey

“…Today’s computational, experimental, and observational sciences rely on computations that involve many related tasks. The success of a scientific mission often…”
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Toward Unbiased Deterministic Total Orderings Of Parallel Simulations With Simultaneous Events by McGlohon, Neil, Carothers, Christopher D.

“…In the area of discrete event simulation (DES), event simultaneity occurs when any two events are scheduled to happen at the same point in simulated time…”
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A visual analytics system for optimizing the performance of large-scale networks in supercomputing systems by Fujiwara, Takanori, Li, Jianping Kelvin, Mubarak, Misbah, Ross, Caitlin, Carothers, Christopher D., Ross, Robert B., Ma, Kwan-Liu

“…The overall efficiency of an extreme-scale supercomputer largely relies on the performance of its network interconnects. Several of the state of the art…”
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An analysis of clustered failures on large supercomputing systems by Hacker, Thomas J., Romero, Fabian, Carothers, Christopher D.

“…Large supercomputers are built today using thousands of commodity components, and suffer from poor reliability due to frequent component failures. The…”
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State Formation in China and Taiwan: Bureaucracy, Campaigns, and Performance. By Julia C.Strauss, Cambridge, UK: Cambridge University Press. 2020. 292 pp. $81.69 (cloth) by Carothers, Christopher

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ARCHER, a new Monte Carlo software tool for emerging heterogeneous computing environments by Xu, X. George, Liu, Tianyu, Su, Lin, Du, Xining, Riblett, Matthew, Ji, Wei, Gu, Deyang, Carothers, Christopher D., Shephard, Mark S., Brown, Forrest B., Kalra, Mannudeep K., Liu, Bob

“…•A fast Monte Carlo based radiation transport code ARCHER was developed.•ARCHER supports different hardware including CPU, GPU and Intel Xeon Phi…”
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ROSS: A high-performance, low-memory, modular Time Warp system by Carothers, Christopher D., Bauer, David, Pearce, Shawn

“…In this paper, we introduce a new Time Warp system called ROSS: Rensselaer’ s optimistic simulation system. ROSS is an extremely modular kernel that is capable…”
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The Surprising Instability of Competitive Authoritarianism by Carothers, Christopher

“…After many countries that had embarked upon transitions in the 1980s and 1990s failed to become consolidated democracies, political scientists highlighted the…”
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Neighborhood communication paradigm to increase scalability in large-scale dynamic scientific applications by Ovcharenko, Aleksandr, Ibanez, Daniel, Delalondre, Fabien, Sahni, Onkar, Jansen, Kenneth E., Carothers, Christopher D., Shephard, Mark S.

“…► Communication is limited to a subset of processors independent of total number. ► Neighborhood communication does not need global communication with fixed…”
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Does External Threat Unify? Chinese Pressure and Domestic Politics in Taiwan and South Korea by Carothers, Christopher

“…Abstract Since 2009, China's growing geopolitical assertiveness has triggered or exacerbated conflicts with many of its neighbors. External threat is often…”
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Performance Study of Monte Carlo Codes on Xeon Phi Coprocessors — Testing MCNP 6.1 and Profiling ARCHER Geometry Module on the FS7ONNi Problem by Liu, Tianyu, Wolfe, Noah, Lin, Hui, Zieb, Kris, Ji, Wei, Caracappa, Peter, Carothers, Christopher, Xu, X. George

“…This paper contains two parts revolving around Monte Carlo transport simulation on Intel Many Integrated Core coprocessors (MIC, also known as Xeon Phi). (1)…”
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Time Warp state restoration via delta encoding by LaPre, Justin M., Gonsiorowski, Elsa J., Carothers, Christopher D., Jenkins, John, Carns, Philip, Ross, Robert

“…Optimistic simulation yields impressive performance gains for many models. State saving is a quick way to provide the rollback mechanism required for this…”
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From Corruption Control to Everything Control: The Widening Use of Inspections in Xi's China by Carothers, Christopher, Zhang, Zhu

“…Under Xi Jinping, the Chinese Communist Party has dramatically expanded its use of inspections (巡视). Existing scholarship largely portrays inspections as an…”
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Bipartisanship on China in a polarized America by Carothers, Christopher, Sun, Taiyi

“…In recent years, the need for the United States to compete with and counter an increasingly assertive China has become a rare point of agreement between…”
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When Can Dictators Go It Alone? Personalization and Oversight in Authoritarian Regimes by Leber, Andrew, Carothers, Christopher, Reichert, Matthew

“…Why are some autocrats able to personalize power within their regimes while others are not? Past studies have focused on the balance of power between the…”
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Exploration of Congestion Control Techniques on Dragonfly-class HPC Networks Through Simulation by McGlohon, Neil, Carothers, Christopher D., Hemmert, K. Scott, Levenhagen, Michael, Brown, Kevin A., Chunduri, Sudheer, Ross, Robert B.

“…Ensuring optimal communication latency in High Performance Computing (HPC) networks is of critical importance to the efficient operation of facilitated…”
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Efficient execution of Time Warp programs on heterogeneous, NOW platforms by Carothers, C.D., Fujimoto, R.M.

“…Time Warp is an optimistic protocol for synchronizing parallel discrete event simulations. To achieve performance in a multiuser network of workstation (NOW)…”
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A Visual Analytics Framework for Reviewing Streaming Performance Data by Kesavan, Suraj P, Fujiwara, Takanori, Li, Jianping Kelvin, Ross, Caitlin, Mubarak, Misbah, Carothers, Christopher D., Ross, Robert B., Ma, Kwan-Liu

“…Understanding and tuning the performance of extreme-scale parallel computing systems demands a streaming approach due to the computational cost of applying…”
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Training Deep Neural Networks with Constrained Learning Parameters by Date, Prasanna, Carothers, Christopher D., Mitchell, John E., Hendler, James A., Magdon-Ismail, Malik

“…Today's deep learning models are primarily trained on CPUs and GPUs. Although these models tend to have low error, they consume high power and utilize large…”
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