From 1eecd1e384c283dd750183e96435ba205fdeb203 Mon Sep 17 00:00:00 2001 From: user-0xcafe <64987235+user-0xcafe@users.noreply.github.com> Date: Sun, 16 Jun 2024 19:46:34 +0200 Subject: [PATCH] chore: Add master's thesis by Jonathan Lainer (#67) --- theses/README.md | 21 ++++++++++++++++++++- theses/masters_thesis_lainer.pdf | Bin 0 -> 846301 bytes 2 files changed, 20 insertions(+), 1 deletion(-) create mode 100644 theses/masters_thesis_lainer.pdf diff --git a/theses/README.md b/theses/README.md index c0c51fc..fc67f9d 100644 --- a/theses/README.md +++ b/theses/README.md @@ -1,6 +1,5 @@ # Bachelor Theses on Unicorn - ## 32-bit Support for Bit-Precise Modeling of RISC-U Code by Patrick Weber, University of Salzburg, Austria, 2024 ([PDF](https://github.com/cksystemsgroup/unicorn/blob/main/theses/bachelor_thesis_weber.pdf),[Release](https://github.com/cksystemsgroup/unicorn/commit/1d77ed2dac08f1263d4f5f21a3b84a84047cacb8)) This thesis presents the 32-bit support for Unicorn, a symbolic execution engine for bit-precise modeling of RISC-V code. The primary motivation for this development was to improve the engine’s performance and extend its capabilities @@ -8,3 +7,23 @@ to execute 32-bit RISC-U binaries. To this end, we cover the core of the Unicorn inherent to addition, subtraction and multiplication in 32-bit systems. The results of our experiment evaluation indicate a significant improvement in the engine’s efficiency and versatility, demonstrating the potential of this approach in expanding the applicability of the Unicorn engine. We also discuss the challenges we faced during implementation and show ho we resolved them. This work contributes to the ongoing efforts to optimize symbolic execution engines and broadens the scope of their utility in various computing environments. Future work may explore further optimizations and support for other binary types. + +# Master's Theses related to Unicorn + +## Symbolic Benchmarking for Allocation Efficiency by Jonathan Lainer, University of Salzburg, Austria, 2024 ([PDF](https://github.com/cksystemsgroup/unicorn/blob/main/theses/masters_thesis_lainer.pdf),[Implementation](https://github.com/cksystemsgroup/unicorn/pull/66)) + +This thesis evaluates the feasability of extending `unicorn`, an SMT based +symbolic execution engine, to count memory and register accesses, thereby +enabling the analysis of memory and register access patterns. As an additional +constraint, the size of the generated SMT formula, and by extention the runtime +of the program, should remain linear in the size of the size of the input +program. + +We design and implement an extension to unicorn that facilitates counting +register accesses at first, then extending it to count memory accesses. +Furthermore, we discuss the limitations inherent to the implementation of the +chosen model. We show that the size of the generated SMT formula indeed remains +linear in the size of the input program by providing a formal proof. + +Our implementation enables checking for several patterns in binary RISC-V +programs, like finding hot registers and memory locations. diff --git a/theses/masters_thesis_lainer.pdf b/theses/masters_thesis_lainer.pdf new file mode 100644 index 0000000000000000000000000000000000000000..97fa1d0cc28731e0a4a7437f8bfdbea309201f8d GIT binary patch literal 846301 zcmb@ubzGcT@;wZ}3GM`Umu}oG5ZpbuJ3)g6cL>4VHMnbVcb7nL3mV+zWfIt(nVrw> z%=`QHKQ!HR-KQRIojO(bRFlcR7NG;sv%tfWWmI;}z{9cPkTb__X-q6n4!B*eUj*#uw3sQy#rn-XGPH!K7Wh7+bV4(-H zu@bT~1L)Z~G#_o)K7N`I!2I)%d3oVs4Xq4*uJW6`=j9{~t&HtW2w9mK8AMDi>sk|$UhbbWa1pdY&m-J&wxtQ^| zG-5^Z>>$>lXa4;CH7sf4c|0=*QMP-db=o-$2M!d+d$#W>)_nC>+z553?SbX3Vp=Jl z!0#ucy4;>{OcZKdOKq82MxW(v_gzSrb++XX=kFrEnOl5+{YpaBNBCm^4Cx00*^3*E z{Ni35S#WaVAwyHSEp(P(*+BPkHHrL-m+*!}{p7g$lAHaL^DV5ctY{s9@~E7%#=^x0 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