The advancement of computer systems such as multi-core and multiprocessor systems resulted in much faster computing than earlier. However, the efficient utilization of these rich computing resources is still an emerging area. For efficient utilization of computing resources, many optimization techniques have been developed, some techniques at compile time and some at runtime. When all the information required for parallel execution is known at compile time, then optimization compilers can

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... ably parallelize a sequential program. However, optimization compiler fails when it encounters compile time unknowns in the program. A conventional solution for such problem can be performing parallelization at runtime. In this article, we propose three different solutions to parallelize a loop having an irregularity in the array of array references, with and without dependencies. More specifically, we introduce runtime check based parallelization technique for the static irregular references without dependency, Inspector-Executor based parallelization technique for static irregular references with dependencies, and finally Speculative parallelization technique (BitTLS) for dynamic irregular references with dependencies. For pro ling the runtime information, shared and private data structures are used. To detect the dependencies between footprints and for synchronization of threads at runtime, we use bit level operations. A window based scheduling policy is employed to schedule the iterations to the threads.