Computing for LQCD: apeNEXT

Belletti, F.; Schifano, Sebastiano Fabio; Tripiccione, R.; Bodin, François; Boucaud, Ph.; Micheli, J.; Pène, O.; Cabibbo, N.; Luca, S. de; Lonardo, A.; Rossetti, Davide; Vicini, P.; Lukyanov, M.; Morin, Laurent; Paschedag, N.; Simma, Hubert; Morénas, V.; Pleiter, D.; Rapuano, F.

doi:10.1109/mcse.2006.4

Cited by 29 publications

(18 citation statements)

References 10 publications

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“…The disadvantage of using FPGAs is that they are typically slower than custom ASICs and the price per device is typically higher. 1 An FPGA consists of a large number of programmable logic blocks. A hierarchy of reconfigurable interconnects allows to glue these blocks together in different ways.…”

Section: Network Processormentioning

confidence: 99%

“…However, design, production and deployment of such cost-efficient machines becomes more challenging with prices per GFlops for commodity systems going down and technology becoming more complex. For example, the latest generation of custom machines, apeNEXT [1] and QCDOC [2], was based on custom designed processors. Given the costs and the risks involved in an ASIC design, this has become less of an option today.…”

Section: Introductionmentioning

confidence: 99%

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QPACE -- a QCD parallel computer based on cell processors

Pleiter¹,

Maurer²

2010

Proceedings of the XXVII International Symposium on Lattice Field Theory — PoS(LAT2009)

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QPACE is a novel parallel computer which has been developed to be primarily used for lattice QCD simulations. The compute power is provided by the IBM PowerXCell 8i processor, an enhanced version of the Cell processor that is used in the Playstation 3. The QPACE nodes are interconnected by a custom, application optimized 3-dimensional torus network implemented on an FPGA. To achieve the very high packaging density of 26 TFlops per rack a new water cooling concept has been developed and successfully realized. In this paper we give an overview of the architecture and highlight some important technical details of the system. Furthermore, we provide initial performance results and report on the installation of 8 QPACE racks providing an aggregate peak performance of 200 TFlops.

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Section: Network Processormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

QPACE -- a QCD parallel computer based on cell processors

Pleiter¹,

Maurer²

2010

Proceedings of the XXVII International Symposium on Lattice Field Theory — PoS(LAT2009)

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“…the interactions of quarks and gluons. Due to the involved mathematical complexity those predictions can only be done by the numerical simulation of QCD on a lattice of space-time points (Lattice QCD or LQCD [24]). …”

Section: Lqcd Application On Diopsis-based Multi-tile Architecturementioning

confidence: 99%

Semi-automation of Configuration Files Generation for Heterogeneous Multi-tile Systems

Chagoya-Garzon

Poste

Rousseau

2011

2011 IEEE 35th Annual Computer Software and Applications Conference

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Heterogeneous Multi-Processor System-on-Chips (HMPSoCs) offer an attractive alternative to homogeneous systems to achieve the increasing requirements of modern mediaprocessing applications. Such systems take advantage of the heterogeneity of their processing units (RISC vs. VLIW) combined with efficient memory architecture and a specific communication infrastructure. However, the complexity of such architectures requires efficient programming tools. They rely on software generation flows that have already been widely studied. Connecting several HMPSoCs to form a heterogeneous system is one solution to target the highly demanding applications belonging to the high performance-computing world. Binary code generation for such many-processor architectures faces new challenges. Indeed, binary generation requires a back-end part composed of processor-specific tools like compilers or linkers, that can no longer be configured by hand when dealing with hundreds of processors.We address in this paper the need to automate the whole configuration process of binary generation flows through the study of two important configuration aspects: the memory mapping and communication configurations. We propose a prototype including a semi-automatic configuration generation module that has been successfully applied on a particularly complex application (LQCD).

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“…Specialization of computing hardware to a particular application can be a powerful approach for accelerating certain computations on both high-performance and embedded systems [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. Many application areas, however, benefit from the utilization of a variety of computational methods, and supporting diverse methods efficiently in a specialized hardware system has historically proven challenging.…”

Section: Introductionmentioning

confidence: 99%

Extending the Generality of Molecular Dynamics Simulations on a Special-Purpose Machine

Scarpazza

Ierardi

Lerer

et al. 2013

2013 IEEE 27th International Symposium on Parallel and Distributed Processing

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Abstract-Special-purpose computing hardware can provide significantly better performance and power efficiency for certain applications than general-purpose processors. Even within a single application area, however, a special-purpose machine can be far more valuable if it is capable of efficiently supporting a number of different computational methods that, taken together, expand the machine's functionality and range of applicability. We have previously described a massively parallel special-purpose supercomputer, called Anton, and have shown that it executes traditional molecular dynamics simulations orders of magnitude faster than the previous state of the art. Here, we describe how we extended Anton's software to support a more diverse set of methods, allowing scientists to simulate a broader class of biological phenomena at extremely high speeds. Key elements of our approach, which exploits Anton's tightly integrated hardwired pipelines and programmable cores, are applicable to the hardware and software design of various other specialized or heterogeneous parallel computing platforms.

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Computing for LQCD: apeNEXT

Cited by 29 publications

References 10 publications

QPACE -- a QCD parallel computer based on cell processors

QPACE -- a QCD parallel computer based on cell processors

Semi-automation of Configuration Files Generation for Heterogeneous Multi-tile Systems

Extending the Generality of Molecular Dynamics Simulations on a Special-Purpose Machine

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