3.1 Controllable Balanced Memory 本节将介绍如何利用 offsets 来控制峰值内存,这里只关注 device 之间具有平衡峰值内存的构建块。 假设模型是均匀划分的(即每个 stage 的计算量、内存大小相同),对于 1 个 microbatch,每个 stage 的激活内存用 m 表示,整个模型的总激活内存用 M 表示,因此有 M=2dm(d 是device ...
论文Pipeline Parallelism with Controllable Memory提出design pipeline schedules 的第一步是规划 building b...
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Pipeline Parallelism with Controllable Memory is a novel method to build pipeline parallelism schedules with controllable activation memory. Using this method we can significantly reduce the activation memory consumption of pipeline parallelism while maintaining the same throughput or even faster. ...
. . a(7,0) are also observed to be mapped on distinct thus producing no memory clash. Thus, the mapping of odd column matrices in the system of the present invention provides for great parallelism in the manipulation of both columns and rows. This result provides for great flexibility in ...
Data memory 25 and registers 85 are addressed via data address bus 111A. A core register address decoder 121 is connected to data address bus 111A for addressing registers 85 and all other addressable CPU core registers. The processor 13, 15 has a high degree of parallelism; e.g., ...
Note: In order to feed the GPU as fast as possible, the pipeline uses a DataLoader which has the optionnum_workers. A good default would be to set it tonum_workers = num_cpus (logical + physical) / num_gpusso that you don't overdo parallelism. ...
Pipeline Parallelism with Controllable Memory指出：对于每个 Stage 而言，需保存激活值显存的 Microbatch ...
Generally, as expected, higher memory functions perform orders of magnitude faster in terms of raw processing. More precisely, the results suggest that the processing power is linearly proportional to the memory since the execution time halves with each memory upgrade. Figure 4 illustrates the end-...
Pipeline Parallelism with Controllable Memoryis a novel method to build pipeline parallelism schedules with controllable activation memory. Using this method we can significantly reduce the activation memory consumption of pipeline parallelism while maintaining the same throughput or even faster. ...