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  Browse All Reviews > Computer Systems Organization (C) > Processor Architectures (C.1) > Other Architecture Styles (C.1.3) > Heterogeneous (Hybrid) Systems (C.1.3...)  
 
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  1-10 of 23 Reviews about "Heterogeneous (Hybrid) Systems (C.1.3...)": Date Reviewed
  Traleika Glacier
Cavé V., Clédat R., Griffin P., More A., Seshasayee B., Borkar S., Chatterjee S., Dunning D., Fryman J.  Parallel Computing 64 33-49, 2017. Type: Article

Exascale computers require new technologies in both hardware and software because of the increased gap between various memory structures and computational units and the decreased reliability of components due the sheer size of the machine and smal...

Dec 4 2017
  Fast rendezvous on a cycle by agents with different speeds
Feinerman O., Korman A., Kutten S., Rodeh Y.  Theoretical Computer Science 688 77-85, 2017. Type: Article

Feinerman et al. provide illustrations concerned with the usefulness of different processing speeds and asynchrony of tasks of the operating agents in distributed computing systems. To investigate the rendezvous (meeting point) problem, a cycle to...

Oct 16 2017
  Understanding co-running behaviors on integrated CPU/GPU architectures
Zhang F., Zhai J., He B., Zhang S., Chen W.  IEEE Transactions on Parallel and Distributed Systems 28(3): 905-918, 2017. Type: Article

Graphics processing units (GPUs) are used in many applications that are not necessarily related to graphics. With the rise of big data and machine learning, GPUs gain more importance. GPUs exist in two different “flavors”: discrete (wh...

Aug 8 2017
  Cost-effective service provisioning for hybrid cloud applications
Liu F., Luo B., Niu Y.  Mobile Networks and Applications 22(2): 153-160, 2017. Type: Article

Making automatic, optimal workload placements in a multi-cloud, hybrid-cloud information technology (IT) infrastructure is an important problem that concerns DevOps. Here is one specific solution to the use case of social networking service provis...

Jun 12 2017
  The AXIOM software layers
Álvarez C., Ayguadé E., Bosch J., Bueno J., Cherkashin A., Filgueras A., Jiménez-González D., Martorell X., Navarro N., Vidal M., Theodoropoulos D., Pnevmatikatos D., Catani D., Oro D., Fernández C., Segura C., Rodríguez J., Hernando J., Scordino C., Gai P., Passera P., Pomella A., Bettin N., Rizzo A., Giorgi R.  Microprocessors & Microsystems 47, Part B, 262-277, 2016. Type: Article

AXIOM is a project aimed at building a hardware substrate and software layers to target cyber-physical systems (CPS) that interact with users in real-time running applications such as face recognition. The paper should be of interest to any practi...

May 15 2017
  A general recommendation model for heterogeneous networks
Pham T., Li X., Cong G., Zhang Z.  IEEE Transactions on Knowledge and Data Engineering 28(12): 3140-3153, 2016. Type: Article

Recommenders take data, analyze it, and on the basis of these results offer recommendations to end users about the decisions to make: which restaurant would be the most appropriate considering their preferences and location, what concert to attend...

May 9 2017
  Molecular computers for molecular robots as hybrid systems
Hagiya M., Aubert-Kato N., Wang S., Kobayashi S.  Theoretical Computer Science 6324-20, 2016. Type: Article

DNA computing is expanding its scope from mere DNA-based computing representation to developing integrated systems based on such computing. These integrated systems are called hybrid systems, and they are based on molecular computers, more precise...

May 2 2017
  Massively parallel lattice-Boltzmann codes on large GPU clusters
Calore E., Gabbana A., Kraus J., Pellegrini E., Schifano S., Tripiccione R.  Parallel Computing 581-24, 2016. Type: Article

Calore et al. present a detailed overview of the development and optimization process of lattice-Boltzmann code for modern graphics processing units (GPUs). The paper begins with a brief introduction of the lattice-Boltzmann method (LBM) and moder...

Jan 31 2017
  Boosting the priority of garbage: scheduling collection on heterogeneous multicore processors
Akram S., Sartor J., Craeynest K., Heirman W., Eeckhout L.  ACM Transactions on Architecture and Code Optimization 13(1): 1-25, 2016. Type: Article

This well-written paper presents a new algorithm for garbage collection of a Java program running across a heterogeneous set of cores (where some cores execute code significantly faster than others)....

Jul 12 2016
  On the efficacy of GPU-integrated MPI for scientific applications
Aji A., Panwar L., Ji F., Chabbi M., Murthy K., Balaji P., Bisset K., Dinan J., Feng W., Mellor-Crummey J., Ma X., Thakur R.  HPDC 2013 (Proceedings of the 22nd International Symposium on High-Performance Parallel and Distributed Computing, New York, NY,  Jun 17-21, 2013) 191-202, 2013. Type: Proceedings

In high-performance computing (HPC) environments, heterogeneous compute systems comprised of a distributed cluster of multicore nodes with accelerators such as graphics processing units (GPUs) are becoming the norm. There are robust and mature pro...

Nov 14 2013
 
 
 
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