Researchers and engineers explore these decisions to bring the best performance possible. Consequently, achieving good performance depends on several design decisions, including the shape of the regions of code being translated. In this technique, the guest code is compiled dynamically at runtime. Since DBTs have its performance strongly related to translation quality, our SBT engine evidence the opportunity towards the creation of RISC-V DBT emulators with higher performance than the current ones.ĭynamic Translation (DT) is a sophisticated technique that allows the implementation of high-performance emulators and high-level-language virtual machines. A better result than well-known RISC-V DBT engines such as RV8 or QEMU. Our experimental results indicate that our SBT is able to produce high-quality code when translating RISC-V binaries to x86 and ARM, achieving only 12%/35% of overhead when compared to native x86/ARM code. To this, we used Static Binary Translation (SBT) to test the quality that can be achieved by translating RISC-V to x86 and ARM. As the most common and also the fastest technique to implement an emulator, Dynamic Binary Translation (DBT), depends directly on good translation quality to achieve good performance, we investigate if a high-quality translation of RISC-V binaries is feasible. In this paper, we investigate if faster emulators for RISC-V could be created. However, none of them with good performance. Moreover, several emulators and simulators for RISC-V have arisen recently. It does not store any personal data.RISC-V is an open ISA which has been calling the attention worldwide by its fast growth and adoption, it is already supported by GCC, Clang and the Linux Kernel. The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. The cookie is used to store the user consent for the cookies in the category "Performance". This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". The cookie is used to store the user consent for the cookies in the category "Other. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly.
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January 2023
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