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• W2022102162 abstract "The Quantum Monte Carlo Diagonalization (QMCD) method which is heart of the MCSM, has a peculiar characteristic as converting the original large matrix into a small one giving nearly equal eigenvalues by means of transforming basis vectors, as mentioned by another paper on this proceedings. 1) In the QMCD, most important basis vectors of the many-body Hilbert space are searched in a stochastic way, and the Hamiltonian is diagonalized with respect to those basis vectors. Certainly, it takes almost all cpu time to calculate each Hamiltonian matrix element with many trial basis vectors to find out the (nearly) best transformation. This characteristic is suitable to implement on parallel calculation with using many CPUs, especially on loosely coupled system because of the calculation of each matrix element can be divided into individual segments not talking among themselves. We decided to make such a computer system as known as “cluster” or “farm” by ourselves because in absence of the computer system which realize such simple parallelism in the market. Every parallel computer in the market is so sophisticate, that is, too expensive for our purpose. Performance of floating point calculation is also so crucial. Vector CPUs, state of the art architecture for fastest floating point calculation, are however not suitable for our calculation which does not treat vector long enough for the CPUs. We chose the Alpha 21264 which has highest performance of the floating point calculation (58.7 SPECfp95 at 500 MHz) as scaler CPU about 4 times better than most popular CPU in the commodity market. The workstation farm that we have built is named “Alphleet”, which consists of many “Alpha” CPUs like as a “Fleet”. Figure 1 shows a schematic diagram and an actual photo (half nodes) of the Alphleet. It consists of a server and 70 clients. It is our goal of the system to maximize performance for the MCSM calculation and to minimize management task. The latter means that easy management against such a large scale system is another big issue for non-professionals of computer itself" @default.
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• W2022102162 date "2000-01-01" @default.
• W2022102162 modified "2023-10-03" @default.
• W2022102162 title "A Workstation Farm Optimized for Monte Carlo Shell Model Calculations : Alphleet" @default.
• W2022102162 doi "https://doi.org/10.1143/ptps.138.43" @default.
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