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Titlebook: Compiler Construction; 10th International C Reinhard Wilhelm Conference proceedings 2001 Springer-Verlag Berlin Heidelberg 2001 Attribut.Co

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Energy Landscape of ,-Component Spin Glasseser arithmetic making compiler analysis and optimisation difficult. This paper presents a method for conversion of a restricted class of pointer-based memory accesses typically found in DSP codes into array accesses with explicit index functions. C programs with pointer accesses to array elements, da
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https://doi.org/10.1007/978-3-319-41231-3 depend on the functional specification of the computational task performed through an ADT or on the semantics of the objects defined. In either case the abstract properties on which optimizations would have to be based cannot be automatically inferred by the compiler. In this paper our aim is to ad
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Charles M. Newman,Daniel L. Stein debugger for optimized code needs to know all of the locations — both registers and memory addresses — in which a variable resides, and which locations are valid for which portions of the computation. Determining this information is known as the .. Because optimizations frequently move variables ar
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https://doi.org/10.1007/3-540-40902-5ilers. An accurate determination of induction variables and dependencies in loops is of paramount importance to many loop optimization and parallelization techniques, such as generalized loop strength reduction, loop parallelization by induction variable substitution, and loop-invariant expression e
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A Short Course on Mean Field Spin Glassese-pipelined loop goes through three phases: prolog, kernel, and epilog. Software pipelining works best if most of the time is spent in the kernel phase rather than in the prolog or epilog phases. This can happen only if the trip count of a pipelined loop is large enough to amortize the overhead of p
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Masafumi Udagawa,Ludovic Jaubertthe register requirement. In this work, we mathematically study and extend the approach which consists of computing the exact upper-bound of the register need for all the valid schedules, independently of the functional unit constraints. A previous work (URSA) was presented in [.,.]. Its aim was to
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