The sorted nodes in leveled DAG division algorithm and critical path on processor

Scheduling Algorithms, mostly List based static algorithms are considered for HDCS. Based on the algorithms, SNLDD, HEFT, CPOP, and implementation of SNLDD with Superior Performance Optimization Procedure are studied. In this paper, the outcome performance of the developed SNLDD algorithm is correlated with current existing algorithms mainly for HeDCSs. The comparative study between the proposed SNLDD algorithm with modified optimization procedure SPOP and HEFT with CPOP are evaluated based on the schedule length, speedup, efficiency of running programs and quality parameters with respect to memory in parallel computer systems has achieved a high speed up and fast execution time by SNLDD

Survey on Combinatorial Register Allocation and Instruction Scheduling

Register allocation (mapping variables to processor registers or memory) and instruction scheduling (reordering instructions to increase instruction-level parallelism) are essential tasks for generating efficient assembly code in a compiler. In the last three decades, combinatorial optimization has emerged as an alternative to traditional, heuristic algorithms for these two tasks. Combinatorial optimization approaches can deliver optimal solutions according to a model, can precisely capture trade-offs between conflicting decisions, and are more flexible at the expense of increased compilation time. This paper provides an exhaustive literature review and a classification of combinatorial optimization approaches to register allocation and instruction scheduling, with a focus on the techniques that are most applied in this context: integer programming, constraint programming, partitioned Boolean quadratic programming, and enumeration. Researchers in compilers and combinatorial optimization can benefit from identifying developments, trends, and challenges in the area; compiler practitioners may discern opportunities and grasp the potential benefit of applying combinatorial optimization

Typical Sequences Revisited — Computing Width Parameters of Graphs

In this work, we give a structural lemma on merges of typical sequences, a notion that was introduced in 1991 [Lagergren and Arnborg, Bodlaender and Kloks, both ICALP 1991] to obtain constructive linear time parameterized algorithms for treewidth and pathwidth. The lemma addresses a runtime bottleneck in those algorithms but so far it does not lead to asymptotically faster algorithms. However, we apply the lemma to show that the cutwidth and the modified cutwidth of series parallel digraphs can be computed in polynomial time

Scheduling Expression DAGs for Minimal Register Need

Generating schedules for expression DAGs that use a minimal number of registers is a classical NP--complete optimization problem. Up to now an exact solution could only..