slide_bn

slide_bn02

NVIDIA DEEP LEARNING INSTITUTE

ȨÀ¸·ÎNVIDIA Deep Learning Institute

NVIDIA DEEP LEARNING INSTITUTE

ÇÑÄľÆÄ«µ¥¹Ì´Â ±¹³» ÃÖÃÊÀÇ NVIDIA DLI(Deep Learning Institute) °øÀÎ ±³À°¼¾ÅÍ·Î, Multi GPU, CUDA µî NVIDIAÀÇ ÇÚÁî¿Â µö·¯´× ½Ç½À ±³À° °úÁ¤À» Á¦°øÇÕ´Ï´Ù.
NVIDIA DLI´Â °³¹ßÀÚ, µ¥ÀÌÅÍ °úÇÐÀÚ ¹× ¿¬±¸¿ø¿¡°Ô ÀΰøÁö´É ¹× °¡¼ÓÈ­µÈ ÄÄÇ»ÆÃÀ» »ç¿ëÇÏ¿© ÀÚÀ²ÁÖÇà ÀÚµ¿Â÷, ÇコÄɾî, À繫 µî ´Ù¾çÇÑ ¿µ¿ªÀÇ ½ÇÁ¦ ¹®Á¦¸¦ ÇØ°áÇÏ´Â ¹æ¹ýÀ» ±³À°ÇÕ´Ï´Ù.
µö·¯´× °úÁ¤¿¡¼­´Â ÃֽŠµµ±¸, ÇÁ·¹ÀÓ ¿öÅ© ¹× ±â¼úÀ» »ç¿ëÇÏ¿© ½Å°æ ³×Æ®¿öÅ©¸¦ ÇнÀÇÏ°í, ÃÖÀûÈ­ ¹× ¹èÆ÷ÇÏ´Â ¹æ¹ýÀ» ÇнÀÇÒ ¼ö ÀÖ½À´Ï´Ù. °¡¼Ó ÄÄÇ»Æà °­Á¿¡¼­´Â ±¤¹üÀ§ÇÑ ÀÀ¿ë ÇÁ·Î±×·¥ ¿µ¿ª¿¡¼­ GPU °¡¼Ó ÄÄÇ»Æà ÀÀ¿ë ÇÁ·Î±×·¥À» Æò°¡, º´·ÄÈ­, ÃÖÀûÈ­ ¹× ¹èÆ÷ÇÏ´Â ¹æ¹ýÀ» ¹è¿ì°Ô µË´Ï´Ù.

logo

NVIDIA DLI °øÀÎ °­»ç

ÇÑÄľÆÄ«µ¥¹Ì´Â ±î´Ù·Î¿î ½É»ç¸¦ Åë°úÇÑ DLI °øÀÎ °­»ç¸¦ º¸À¯ÇÏ°í ÀÖ½À´Ï´Ù.

learn

NVIDIA DLI ±³À° °úÁ¤

Fundamentals of Deep Learning for Multi-GPUs(6h)

  • Stochastic Gradient Descent and the Effects of Batch Size (2h)
  • Training on Multiple GPUs with Horovod (2h)
  • Maintaining Model Accuracy when Scaling to Multiple GPUs(2h)

Fundamentals of Accelerated Computing with CUDA C/C++(6h)

  • Accelerating Applications with CUDA C/C++(2h)
  • Managing Accelerated Application Memory with CUDA C/C++ Unified Memory and nvprof(2h)
  • Asynchronous Streaming, and Visual Profiling for Accelerated Applications with CUDA(2h)

±³À° ½ÅûÇϱ⠰úÁ¤¼Ò°³¼­ ´Ù¿î·Îµå