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Heterogeneous computing is a promising approach to tackle the thermal, power and energy constraints posed by modern desktop and embedded computing systems. However, by also allowing the migration of application threads to the most appropriate cores, significant performance gains and energy efficiency levels can also be attained. Nevertheless, the considerably large overheads usually imposed by software-based...
Instruction Multiple-Thread (SIMT) micro-architectures implemented in Graphics Processing Units (GPUs) run fine-grained threads in lockstep by grouping them into units, referred to as warps, to amortize the cost of instruction fetch, decode and control logic over multiple execution units. As individual threads take divergent execution paths, their processing takes place sequentially, defeating part...
Existing redundant multithreading (RMT) detects faults by comparing the result of each instruction between the master and slave threads, which can lead to huge comparison and communication overhead. To address this problem, the checkpoint-based RMT (like RVQ_F) was proposed, but in such architectures, master threads must wait for slave threads to arrive at the same position at each checkpoint, this...
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