context: os dev concepts 95% done

* still missing code snippets for the procedure call example

src/docs/thesis.bib

@@ -3,10 +3,15 @@ Any changes to this file will be lost if it is regenerated by Mendeley.
 
 BibTeX export options can be customized via Options -> BibTeX in Mendeley Desktop
 
-@article{Junker,
-author = {Junker, Stefan},
-file = {:home/steveej/src/steveej/msc-thesis/src/docs/thesis.pdf:pdf},
-title = {{Guarantees On In-Kernel Memory-Safety Using Rust's Static Code Analysis}}
+@article{Matz2009,
+author = {Matz, M and Hubicka, J and Jaeger, a and Mitchell, M},
+file = {:home/steveej/src/steveej/msc-thesis/docs/System V Application Binary Interface AMD64 Architecture Processor Supplement Draft Version 0.99.7.pdf:pdf},
+isbn = {013877630X},
+pages = {1--128},
+pmid = {2477614},
+title = {{System V Application Binary Interface AMD64 Architecture Processor Supplement}},
+url = {papers2://publication/uuid/CD8D5668-B1F5-4FE3-BAD8-25F1E589A9E5},
+year = {2009}
 }
 @article{Lattner2005,
 abstract = {The LLVM Compiler Infrastructure (http://llvm.cs. uiuc.edu) is a$\backslash$nrobust system that is well suited for a wide variety of research$\backslash$nand development work. This brief paper introduces the LLVM system$\backslash$nand provides pointers to more extensive documentation, complementing$\backslash$nthe tutorial presented at LCPC.},
@@ -74,17 +79,6 @@ title = {{From Collision To Exploitation: Unleashing Use-After-Free Vulnerabilit
 url = {http://dl.acm.org/citation.cfm?doid=2810103.2813637},
 year = {2015}
 }
-@article{Merity2016,
-abstract = {Recent neural network sequence models with softmax classifiers have achieved their best language modeling performance only with very large hidden states and large vocabularies. Even then they struggle to predict rare or unseen words even if the context makes the prediction unambiguous. We introduce the pointer sentinel mixture architecture for neural sequence models which has the ability to either reproduce a word from the recent context or produce a word from a standard softmax classifier. Our pointer sentinel-LSTM model achieves state of the art language modeling performance on the Penn Treebank (70.9 perplexity) while using far fewer parameters than a standard softmax LSTM. In order to evaluate how well language models can exploit longer contexts and deal with more realistic vocabularies and larger corpora we also introduce the freely available WikiText corpus.},
-archivePrefix = {arXiv},
-arxivId = {1609.07843},
-author = {Merity, Stephen and Xiong, Caiming and Bradbury, James and Socher, Richard},
-eprint = {1609.07843},
-journal = {Arxiv},
-title = {{Pointer Sentinel Mixture Models}},
-url = {http://arxiv.org/abs/1609.07843},
-year = {2016}
-}
 @inproceedings{Ma2013,
 abstract = {—Aiming at the problem of higher memory consumption and lower execution efficiency during the dynamic detecting to C/C++ programs memory vulnerabilities, this paper presents a dynamic detection method called ISC. The ISC improves the Safe-C using pointer analysis technology. Firstly, the ISC defines a simple and efficient fat pointer representation instead of the safe pointer in the Safe-C. Furthermore, the ISC uses the unification-based analysis algorithm with one level flow static pointer. This identification reduces the number of pointers that need to be converted to fat pointers. Then in the process of program running, the ISC detects memory vulnerabilities through constantly inspecting the attributes of fat pointers. Experimental results indicate that the ISC could detect memory vulnerabilities such as buffer overflows and dangling pointers. Comparing with the Safe-C, the ISC dramatically reduces the memory consumption and lightly improves the execution efficiency.},
 author = {Ma, Rui and Chen, Lingkui and Hu, Changzhen and Xue, Jingfeng and Zhao, Xiaolin},
@@ -97,6 +91,19 @@ pages = {52--57},
 title = {{A dynamic detection method to C/C++ programs memory vulnerabilities based on pointer analysis}},
 year = {2013}
 }
+@article{Mailloux1969,
+author = {Mailloux, B. J. and Peck, J. E L and Koster, C. H A},
+doi = {10.1007/BF02163002},
+file = {:home/steveej/src/steveej/msc-thesis/docs/Algol68-RevisedReport.pdf:pdf},
+isbn = {978-3-662-38646-0},
+issn = {0029599X},
+journal = {Numerische Mathematik},
+number = {2},
+pages = {79--218},
+title = {{Report on the Algorithmic Language ALGOL 68}},
+volume = {14},
+year = {1969}
+}
 @article{Corporation2011,
 abstract = {The Intel{\{}$\backslash$textregistered{\}} 64 and IA-32 Architectures Software Developer's Manual, Volume 1, describes the basic architecture and programming environment of Intel 64 and IA-32 processors. The Intel{\{}$\backslash$textregistered{\}} 64 and IA-32 Architectures Software Developer's Manual, Volumes 2A {\&} 2B, describe the instruction set of the processor and the opcode struc- ture. These volumes apply to application programmers and to programmers who write operating systems or executives. The Intel{\{}$\backslash$textregistered{\}} 64 and IA-32 Architectures Software Developer's Manual, Volumes 3A {\&} 3B, describe the operating-system support environment of Intel 64 and IA-32 processors. These volumes target operating- system and BIOS designers. In addition, the Intel{\{}$\backslash$textregistered{\}} 64 and IA-32 Architectures Software Developer's Manual, Volume 3B, addresses the programming environment for classes of software that host operating systems.},
 author = {Corporation, Intel},
@@ -191,6 +198,11 @@ title = {{AMD64 Architecture Programmer's Manual Volume 2: System Programming}},
 volume = {1},
 year = {2012}
 }
+@article{Junker,
+author = {Junker, Stefan},
+file = {:home/steveej/src/steveej/msc-thesis/src/docs/thesis.pdf:pdf},
+title = {{Guarantees On In-Kernel Memory-Safety Using Rust's Static Code Analysis}}
+}
 @article{Nilsson2017,
 author = {Nilsson, Fredrik},
 file = {:home/steveej/src/github/steveej/msc-thesis/docs/A Rust-based Runtime for the Internet of Things.pdf:pdf},