Concept Guide

15 Addressing the Memory Bottleneck in AI Model Training for Healthcare
FTC Disclaimer: For Performance Claims
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors.
Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software,
operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information
and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product
when combined with other products. For more complete information visit www.intel.com/benchmarks. Configurations: Tested
by Dell EMC as of 12/17/2019. 4 socket Intel® Xeon® Gold 6248 Processor, 20 cores per socket HT OFF Turbo OFF Total
Memory 1.5TB GB (DDR4, 48 slots/ 32GB), NUMA Not Enabled, KMP_AFFINITY=“granularity=thread,compact”,
OMP_NUM_THREADS=80, KMP_BLOCKTIME=1, Number of intraop threads=80, Number of interop threads=1, Ubuntu 16.04,
Deep Learning Framework: TensorFlow 1.11 with Intel® Deep Neural Network Library (DNNL/MKL-DNN), 3D U-
Net:https://github.com/IntelAI/unet, BS=16, Medical Decathlon (BraTS, http://medicaldecathlon.com/) + synthetic data, Datatype:
FP32
FTC Optimization Notice:
Optimization Notice: Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations
that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other
optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not
manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors.
Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable
product User and Reference Guides for more information regarding the specific instruction sets covered by this notice. Notice
Revision #20110804
Security Disclaimer
Performance results are based on testing by Dell EMC as of 12/17/2019 and may not reflect all publicly available security
updates. See configuration disclosure for details. No product or component can be absolutely secure.
Technology Disclaimer
Intel technologies' features and benefits depend on system configuration and may require enabled hardware, software or service
activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with
your system manufacturer or retailer or learn more at [intel.com].
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