Democratizing the Cryptocurrency Ecosystem by Just-In-Time Transformation of Mining Programs
This program is tentative and subject to change.
Democracy is crucial to a cryptocurrency ecosystem, as the diversity of miners (farms, personal computers, and web clients) underlays the credibility of the cryptocurrency. Among miners, web clients used to be the vast majority, e.g., 50M+ as of March 2018. As time went on, however, cryptomining was gradually monopolized by mining farms with dedicated hardware (e.g., ASICs), and web clients scaled down to ∼0.1M. To suppress mining farms, certain cryptocurrencies (like Monero) adopted new mining algorithms such as RandomX whose execution relies on general-purpose hardware architectures. Unfortunately, this further impairs web-based cryptomining as web clients cannot provide the desired architecture support to these algorithms. This paper explores how to revive software democracy of efficient web-based cryptomining, using a novel program transformation technique termed Vectra. Vectra employs just-in-time (JIT) transformations of mining programs for web architectures; it effectively identifies and merges isomorphic instructions upon execution. Vectra ensures correct transformations based on symbolic constraints of the instructions. Real-world deployments show that Vectra reduces WASM instructions by about 7× and achieves a 3×–16× speedup for web cryptomining in diverse execution environments, which translates to a high (69%–274%) return-on-investment (ROI) for common users.
This program is tentative and subject to change.
Mon 17 NovDisplayed time zone: Seoul change
14:00 - 15:30 | |||
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14:20 10mTalk | Democratizing the Cryptocurrency Ecosystem by Just-In-Time Transformation of Mining Programs Research Papers Wei Liu Nanjing University, Zhenhua Li Tsinghua University, Feng Qian University of Southern California, Feiyu Jin Tsinghua University, Hao Lin Tsinghua University, Yannan Zheng Ant Group, Bo Xiao Ant Group, Xiaokang Qin Ant Group, Tianyin Xu University of Illinois at Urbana-Champaign | ||
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14:40 10mTalk | The Impact of the COVID-19 Pandemic on Women’s Contribution to Public Code Journal-First Track Annalí Casanueva Ifo Institute, Big Data Junior Research Group, Munich, Germany, Davide Rossi University of Bologna, Théo Zimmermann Télécom Paris, Polytechnic Institute of Paris, Stefano Zacchiroli LTCI, Télécom Paris, Institut Polytechnique de Paris, Palaiseau, France Link to publication DOI Pre-print | ||
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