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Optimization of Run Configurations of k-Wave Jobs
Sasák, Tomáš ; Jaroš, Marta (referee) ; Jaroš, Jiří (advisor)
This thesis focuses on scheduling, i.e. correct approximation of configurations used to run k-Wave simulations on supercomputers from the IT4Innovations infrastructure. Especially, for clusters Salomon and Anselm. A single work is composed of a set which contains many simulations. Every simulation is executed by some code from the k-Wave toolbox. To calculate the simulation, it is necesarry to select a suitable configuration, which means the amount of supercomputer resources (number of nodes, i.e. cores), and the duration of the rental. Creation of an ideal configuration is complicated and is even harder for an inexperienced user. The approximation is made based on the empiric data, obtained from multiple executions of different sets of simulations on given clusters. This data is stored and used by a set of approximators, which performs the actual approximation by methods of interpolation and regression. The text describes the implementation of the final scheduler. By experimenting, the most efficient methods for this problem has found out to be Akima spline, PCHIP interpolation and cubic spline. The main contribution of this work is creation of a tool which can find suitable configuration for k-Wave simulation without knowing the code or having lots of experience with its usage.
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Centralized Cryptocurrency Exchange with Trusted Computing
Sasák, Tomáš ; Očenášek, Pavel (referee) ; Homoliak, Ivan (advisor)
Táto práca sa zaoberá návrhom, implementáciou a analýzou centralizovanej zmenárne kryptomien, ktorá pracuje na platforme trusted computing. Aktuálne centralizované zmenárne fungujú na základe plnej dôvery používateľa v operátorov zmenárne. Na opačnej strane, decentralizované zmenárne využívajú jeden blockchain a tým sú limitované iba na mince na danom blockchaine. Použitím trusted computing platformy Intel SGX je možné kód zverejniť (open source) a zákazník si dokáže overiť pomocou SGX atestácie (remote attestation) že tento kód beží na platforme zmenárne. Kombináciou so smart contract platformou na verejnom blockchaine zmenáreň dosahuje odolnosť voči nejednoznačnosti a vytvára lepšiu vrstvu bezpečnosti a transparentnosti pre používateľa. Zmenáreň bola implementovaná ako proof-of-concept pomocou programovacieho jazyka Go, za použitím frameworku EGo pre tvorbu SGX enkláv. Pre ukladanie dát bola použitá databáza PebbleDB a relačná databáza PostgreSQL. Smart contract zmenárne bol implementovaný v jazyku Solidity a nasadený na Ethereum. Implementácia je schopná vyhodnotiť približne 35 vkladov mincí za sekundu a 23 ponúk na výmenu mincí za sekundu. Aktualizácia poslednej verzie ledgeru na kontrakte stojí približne 0.00255 ETH, pri tendencií aktualizácie každú minútu deň behu zmenárne stojí približne 3.6742 ETH.
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Optimization of Run Configurations of k-Wave Jobs
Sasák, Tomáš ; Jaroš, Marta (referee) ; Jaroš, Jiří (advisor)
This thesis focuses on scheduling, i.e. correct approximation of configurations used to run k-Wave simulations on supercomputers from the IT4Innovations infrastructure. Especially, for clusters Salomon and Anselm. A single work is composed of a set which contains many simulations. Every simulation is executed by some code from the k-Wave toolbox. To calculate the simulation, it is necesarry to select a suitable configuration, which means the amount of supercomputer resources (number of nodes, i.e. cores), and the duration of the rental. Creation of an ideal configuration is complicated and is even harder for an inexperienced user. The approximation is made based on the empiric data, obtained from multiple executions of different sets of simulations on given clusters. This data is stored and used by a set of approximators, which performs the actual approximation by methods of interpolation and regression. The text describes the implementation of the final scheduler. By experimenting, the most efficient methods for this problem has found out to be Akima spline, PCHIP interpolation and cubic spline. The main contribution of this work is creation of a tool which can find suitable configuration for k-Wave simulation without knowing the code or having lots of experience with its usage.
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