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As the number of cores per chip increases, significant speedup for many applications could be achieved by exploiting loop level parallelism (LLP). Meanwhile, ever scaling device size makes multicore/multiprocessor systems suffer from increased reliability problems. Scheduling scheme plays a key role to exploit LLP. In existing dynamic loop scheduling schemes, self-scheduling is the most commonly used scheme1. This paper presents FTSS, a fault tolerant self-scheduling scheme which aims to execute parallel loops efficiently in the presence of hardware faults on shared memory systems. Our technique transforms a loop to ensure the correctness of the re-execution of loop iterations by buffering variables with anti-dependences, which make it possible to design a fault tolerant loop scheduling scheme without checkpointing. FTSS combines work-stealing with self-scheduling, and uses a bidirectional execution model when work is stolen from a faulty core. Experimental results show that FTSS achieve better load balancing than existing self-scheduling schemes. Compared with checkpoint/restart implementations that save a checkpoint before executing each chunk of iterations and restart the whole chunk running on a faulty core, FTSS exhibits better runtime performance. In addition, FTSS greatly outperforms existing self-scheduling schemes in terms of performance and stability in heavy loaded runtime environment. [ABSTRACT FROM PUBLISHER]