Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: To satisfy the demand for higher performance, modern processors are designed with a high degree of speculation. While speculation enhances performance, it burns por unnecessarily. The cache, store queue, and load queue are accessed associatively before a matching entry is determined. A significant amount of por is wasted to search entries that are not picked. Modern processors speculatively schedule instructions before operand values are computed, since cycle-time demands preclude inclusion of a full ALU and bypass network delay in the instruction scheduling loop. Hence, the latency of load instructions must be predicted since it cannot be determined within the scheduling pipeline. Whenever mispredictions occur due to an unanticipated cache miss, a significant amount of por is wasted by incorrectly issued dependent instructions.  exploits the prevalence of narrow operand values by placing fast, narrow ALUs, cache, and datapath within the scheduling loop. The results of this narrow datapath are used to avoid unnecessary activity in the rest of the execution core by creating opportunities to use different energy reduction techniques. A novel approach for transforming the data cache, store queue, and load queue from associative (or set-associative) to direct mapped saves a significant amount of energy. Additionally, virtually all load latency mispredictions can be accurately anticipated with this narrow datapath, and very little energy is wasted on executing incorrectly scheduled instructions. Our narrow datapath design, coupled with a novel partitioned store queue and pipelined data cache, can achieve cycle time comparable to those of conventional approaches, while dramatically reducing misspeculation. This technique saves approximately 27% of the dynamic energy of the out-of-order core, which translates into roughly 11% of total processor dynamic energy, without any loss of performance for integer benchmarks. Finally, a less-complex flush-based recovery scheme is shown to suffice for high performance due to the rarity of load misscheduling.
['Erika Gunadi', 'Mikko H. Lipasti']
I am writing a research paper on a idea Narrow Width Dynamic Scheduling
[{"from": "human", "value": "I am writing a research paper on a idea Narrow Width Dynamic Scheduling"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: To satisfy the demand for higher performance, modern processors are designed with a high degree of speculation. While speculation enhances performance, it burns por unnecessarily. The cache, store queue, and load queue are accessed associatively before a matching entry is determined. A significant amount of por is wasted to search entries that are not picked. Modern processors speculatively schedule instructions before operand values are computed, since cycle-time demands preclude inclusion of a full ALU and bypass network delay in the instruction scheduling loop. Hence, the latency of load instructions must be predicted since it cannot be determined within the scheduling pipeline. Whenever mispredictions occur due to an unanticipated cache miss, a significant amount of por is wasted by incorrectly issued dependent instructions.  exploits the prevalence of narrow operand values by placing fast, narrow ALUs, cache, and datapath within the scheduling loop. The results of this narrow datapath are used to avoid unnecessary activity in the rest of the execution core by creating opportunities to use different energy reduction techniques. A novel approach for transforming the data cache, store queue, and load queue from associative (or set-associative) to direct mapped saves a significant amount of energy. Additionally, virtually all load latency mispredictions can be accurately anticipated with this narrow datapath, and very little energy is wasted on executing incorrectly scheduled instructions. Our narrow datapath design, coupled with a novel partitioned store queue and pipelined data cache, can achieve cycle time comparable to those of conventional approaches, while dramatically reducing misspeculation. This technique saves approximately 27% of the dynamic energy of the out-of-order core, which translates into roughly 11% of total processor dynamic energy, without any loss of performance for integer benchmarks. Finally, a less-complex flush-based recovery scheme is shown to suffice for high performance due to the rarity of load misscheduling."}]