Machine code generation

Continued part 1, part 2 of ebook "Compiler design in C" presents the following content: code generation; the virtual machine; memory organization; variable declarations; optimization strategies; parser optimizations; linear (peephole) optimizations; structural optimizations; common-subexpression elimination; database maintenance-hashing; miscellaneous functions; grammatical transformations;...

524p dieptieuung 14-07-2023 7 4   Download

Continued part 1, part 2 of book "Compilers: Principles, Techniques, and Tools (Second Edition)" provide students with knowledge about: object-code generation, construction of basic blocks, generation of code from expressions and basic blocks, and register-allocation techniques; introduces the technology of code optimization, including ow graphs, data- ow frameworks, and iterative algorithms for solving these frameworks; instruction-level optimization; talks about larger-scale parallelism detection and exploitation;...

506p britaikridanik 05-07-2022 14 3   Download

Lecture Compiler construction: Lesson 42 - Sohail Aslam. The main topics covered in this chapter include: code generation, the code generation problem task of mapping intermediate code to machine code; memory management mapping names to data objects in the run-time system, target assembly language,...

21p youzhangjing_1909 28-04-2022 14 1   Download

In recent years, a rapidly increasing number of RNA transcripts has been generated by thousands of sequencing projects around the world, creating enormous volumes of transcript data to be analyzed. An important problem to be addressed when analyzing this data is distinguishing between long non-coding RNAs (lncRNAs) and protein coding transcripts (PCTs). Thus, we present a Support Vector Machine (SVM) based method to distinguish lncRNAs from PCTs, using features based on frequencies of nucleotide patterns and ORF lengths, in transcripts.

14p vilarryellison 29-10-2021 7 0   Download

Predicting piwi-interacting RNA (piRNA) is an important topic in the small non-coding RNAs, which provides clues for understanding the generation mechanism of gamete. To the best of our knowledge, several machine learning approaches have been proposed for the piRNA prediction, but there is still room for improvements.

11p vioklahoma2711 19-11-2020 9 1   Download

Chapter 19 - Data structures. After studying this chapter you will be able to understand: Structures in C, defining a struct, declaring and using a struct, defining and declaring at once, using typedef, generating code for structs, array of structs, pointer to struct,...

28p shiwo_ding5 15-05-2019 22 3   Download

Part 2 of the document Basics of compiler design presentation of content: Intermediate-Code generation, machine code generation, register allocation, function calls, analysis and optimisation, memory management, bootstrapping a compiler, set notation and concepts. Invite you to consult the details.

161p thangnamvoiva1 14-06-2016 60 4   Download

Software engines output source code or markup code that simultaneously become the input to another computer process. Application servers are software engines that deliver applications to client computers. For example, a Wiki is an application server that lets users build dynamic content assembled from articles. Wikis generate HTML, CSS, Java, and JavaScript which are then interpreted by a web browser.

601p nt18102 25-05-2013 57 11   Download

Our goal is to identify the features that predict the occurrence and placement of discourse cues in tutorial explanations in order to aid in the automatic generation of explanations. Previous attempts to devise rules for text generation were based on intuition or small numbers of constructed examples. We apply a machine learning program, C4.5, to induce decision trees for cue occurrence and placement from a corpus of data coded for a variety of features previously thought to affect cue usage.

8p bunthai_1 06-05-2013 47 2   Download

We describe a system of reversible grammar in which, given a logic-grammar specification of a natural language, two efficient PROLOGprograms are derived by an off-line compilation process: a parser and a generator for this language. The centerpiece of the system is the inversion algorithm designed to compute the generator code from the parser's PROLOG code, using the collection of minimal sets of essential arguments (MSEA) for predicates.

8p bungio_1 03-05-2013 70 1   Download

Gamma uses traditional relational techniques for query parsing, optimization [SELI79, JARK84], and code generation. The optimization process is somewhat simplified as Gamma only employs hash-based algorithms for joins and other complex operations. Queries are compiled into a left-deep tree of operators. At execution time, each operator is executed by one or more operator processes at each participating site.

38p nhacsihuytuan 13-04-2013 49 2   Download

Programming languages provide various ways of specifying programs for computers to run. Unlike natural languages, programming languages are designed to permit no ambiguity and to be concise. They are purely written languages and are often difficult to read aloud. They are generally either translated into machine code by a compiler or an assembler before being run, or translated directly at run time by an interpreter. Sometimes programs are executed by a hybrid method of the two techniques.

147p khangoc2399 21-09-2012 56 5   Download

In most computers, individual instructions are stored as machine code with each instruction being given a unique number (its operation code or opcode for short). The command to add two numbers together would have one opcode, the command to multiply them would have a different opcode and so on. The simplest computers are able to perform any of a handful of different instructions; the more complex computers have several hundred to choose from, each with a unique numerical code. Since the computer's memory is able to store numbers, it can also store the instruction codes.

194p khangoc2399 21-09-2012 48 9   Download

This paper describes a compiler, which converts from Verilog to C. The output is then compiled to machine native code and tends to execute faster than native mode Verilog simulation because the compiler preserves only the synthesis semantics, not the simulation semantics, of Verilog and performs logic minimization. Busses of up to 32 or 64 bits can be modeled as C integers whereas larger busses are automatically split. We describe the motivation, method and quality of the results.

68p thanhmaikmt 16-02-2011 146 37   Download

Certified that the work contained in the thesis entiled " Verilog-to-C-Compiler: Simulator Generator " by " Anand Vivek Srivastava", has been carried out under my supervision and that this work has not been submitted elsewhere for a degree. This paper describes a compiler, which converts from Verilog to C. The output is then compiled to machine native code and tends to execute faster than native mode Verilog simulation because the compiler preserves only the synthesis semantics, not the simulation semantics, of Verilog and performs logic minimization.

65p thanhmaikmt 16-02-2011 627 58   Download