Titlebook: Compiler Construction; 20th International C Jens Knoop Conference proceedings 2011 The Editor(s) (if applicable) and The Author(s), under e

Conquest

Engaged

Springer Series in Solid-State Sciencesary to traditional JIT machines, a trace compiler works on only part of the source program, normally a linear path inside a heavily executed loop. Because the trace is compiled during the interpretation of the source program the JIT compiler has access to runtime values. This observation gives the c

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Basics of Semiconductor and Spin Physics,s. One such problem is caused by the copy semantics of .. Existing . systems rely on reference-counting schemes to create copies only when a shared array representation is updated. This reduces array copies, but requires runtime checks..We present a staged static analysis approach to determine when

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The Technique: Resonant X-ray Scattering,scing. After spilling, register assignment can be done in polynomial time, but copy coalescing is NP-complete. In this paper we present an assignment approach with integrated copy coalescing, which maps the problem to the Partitioned Boolean Quadratic Problem (PBQP). Compared to the state-of-the-art

Noisome

BAN

https://doi.org/10.1007/978-3-642-25637-0e ability to perform strong updates on individual objects. The interprocedural and flow-sensitive nature of these analyses often make them difficult to scale. In this paper, we use two types of method summaries (callee and caller) to improve the performance of an interprocedural flow- and context-se

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Small-Intestine

The COMPASS Experiment at CERN,ripting languages, such as PHP. In 1997, ?rb?k and Palsberg formalized the problem of detecting these exploits as an instance of type-checking, and gave an .(..) algorithm to solve it, where . is the number of program variables. A similar algorithm was, ten years later, implemented on the Pixy tool.

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Spin and Azimuthal Asymmetries in DIS, to the low-level reversible assembly language PISA. Our translation is both semantics preserving (correct), in that target programs compute exactly the same functions as their source programs (., with no extraneous garbage output), and efficient, in that target programs conserve the complexities of

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Spin trapping by nitrosoalkanesng instructions from the instruction set and re-arranging them such that frequent instruction sequences are co-located in memory. We take these frequent instruction sequences from hot program traces of external programs and we report a maximum speedup by a factor of 1.142. Thus, interpreter instruct