Profiled data of DLRM models partitioned using table, column and data parallelism, used to estimate iteration time of large scale DDL workloads on multiple networks. This is used to evaluate the RAMP

DataCite Commons2022-06-08 更新60

Profiled DLRM RAMP

Profiled data of DLRM models partitioned using table, column and data parallelism, used to estimate iteration time of large scale DDL workloads on multiple networks. This is used to evaluate the RAMP

Figshare2022-06-08 更新00

Profiled DDL RAMP

Collection of profiled models used to estimate the disrtibuted training time for different Transformer Encoder models partiotioned using Megatron partitioning strategy, for different target losses

DataCite Commons2022-04-29 更新70