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Title:HITROSTNA OPTIMIZACIJA RAČUNANJA ZGOŠČENIH VREDNOSTI Z ALGORITMOM SHABAL512
Authors:ID Škorjanc, Matjaž (Author)
ID Holobar, Aleš (Mentor) More about this mentor... New window
Files:.pdf MAG_Skorjanc_Matjaz_2016.pdf (1,08 MB)
MD5: 6ED9ED8A19B2F21F31D94EE6AC0263FA
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Kriptovalute se pospešeno uveljavljajo kot moderno plačilno sredstvo. Kovance kriptovalut pridobivamo z računskim postopkom, imenovanim rudarjenje, ki je matematični kriptografski princip računanja ustreznih zgoščenih vrednosti s poskušanjem. S hitrejšim in učinkovitejšim rudarjenjem kriptovalut pridobimo več kovancev oz. zaslužimo več. V magistrski nalogi obravnavamo teoretične in praktične pohitritve ter učinkovitosti splošno razširjenih optimizacijskih tehnologij (SSE2, AVX2, CUDA, OpenCL) pri rudarjenju kriptovalut. Podrobneje analiziramo prednosti in slabosti vsake tehnologije in smotrnost njene uporabe. Izmerimo in analiziramo hitrosti, porabo električne energije in dobičkonosnost izbranih tehnologij na hipotetičnem primeru kriptovalute, ki uporablja algoritem Shabal512. Rezultati študije potrdijo, da so pri paralelnem računanju algoritma Shabal512 optimizacijske tehnologije na grafičnih karticah bistveno bolj učinkovite od optimizacijskih tehnologij centralne procesne enote.
Keywords:zgoščena vrednost, hitrostna optimizacija, Shabal, CUDA, OpenCL, AVX2, SSE2, kriptovaluta, Bitcoin
Place of publishing:[Maribor
Publisher:M. Škorjanc
Year of publishing:2016
PID:20.500.12556/DKUM-62035 New window
UDC:004.8.021(043.2)
COBISS.SI-ID:20149526 New window
NUK URN:URN:SI:UM:DK:E9FBURIQ
Publication date in DKUM:07.09.2016
Views:2677
Downloads:681
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:SPEED OPTIMIZATION OF SHABAL512 HASHING
Abstract:Cryptocurrencies are rapidly establishing modern means of payment. Cryptocurrency coins are obtained through the procedure called mining, which uses a mathematical principle of cryptographic computation to find specific cryptographic hash values. With faster and more efficient mining we can collect more coins and earn more. This master thesis deals with theoretical and practical speed-up and efficiency of ubiquitous optimization techniques (SSE2, AVX2, CUDA, OpenCL) for mining. We analyze the advantages and disadvantages of each technology and assess its efficiency. We measure and analyze the speed, power consumption and the profitability of selected technologies on a hypothetical case of Shabal512 cryptocurrency. Results of the study confirm that the efficiency of graphics cards significantly surpasses the efficiency of CPUs when running the parallel computation of Shabal512 algorithm.
Keywords:hash, speed optimization, Shabal, CUDA, OpenCL, AVX2, SSE2, cryptocurrency, Bitcoin


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