Sökning: "Christian Schulte"
Visar resultat 1 - 5 av 7 avhandlingar innehållade orden Christian Schulte.
1. Constraint-Based Register Allocation and Instruction Scheduling
Sammanfattning : Register allocation (mapping variables to processor registers or memory) and instruction scheduling (reordering instructions to improve latency or throughput) are central compiler problems. This dissertation proposes a combinatorial optimization approach to these problems that delivers optimal solutions according to a model, captures trade-offs between conflicting decisions, accommodates processor-specific features, and handles different optimization criteria. LÄS MER
2. Integrated Register Allocation and Instruction Scheduling with Constraint Programming
Sammanfattning : This dissertation proposes a combinatorial model, program representations, and constraint solving techniques for integrated register allocation and instruction scheduling in compiler back-ends. In contrast to traditional compilers based on heuristics, the proposed approach generates potentially optimal code by considering all trade-offs between interdependent decisions as a single optimization problem. LÄS MER
3. Universal Instruction Selection
Sammanfattning : In code generation, instruction selection chooses instructions to implement a given program under compilation, global code motion moves computations from one part of the program to another, and block ordering places program blocks in a consecutive sequence. Local instruction selection chooses instructions one program block at a time while global instruction selection does so for the entire function. LÄS MER
4. Performance Optimization Techniques and Tools for Distributed Graph Processing
Sammanfattning : In this thesis, we propose optimization techniques for distributed graph processing. First, we describe a data processing pipeline that leverages an iterative graph algorithm for automatic classification of web trackers. LÄS MER
5. Techniques for Efficient Constraint Propagation
Sammanfattning : This thesis explores three new techniques for increasing the efficiency of constraint propagation: support for incremental propagation, improved representation of constraints, and abstractions to simplify propagation. Support for incremental propagation is added to a propagator centered propagation system by adding a new intermediate layer of abstraction, advisors, that capture the essential aspects of a variable centered system. LÄS MER