《HC2022.KAIST.JihoonKim.v04.pdf》由会员分享,可在线阅读,更多相关《HC2022.KAIST.JihoonKim.v04.pdf(16页珍藏版)》请在三个皮匠报告上搜索。
1、1 of 16HOTCHIPS 2022Trinity:End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data AnalyticsTrinity:End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data AnalyticsJi-Hoon Kim1),Seunghee Han1),Kwanghyun Park2),Soo-Young Ji3)and Jo
2、o-Young Kim1)1)2)3)2 of 16HOTCHIPS 2022Trinity:End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data AnalyticsIn-DBMS Data Analytics Three Important yet Independent Technology TrendsML-based Advanced Data AnalyticsDatabaseHW AccelerationNear-Data/In-Storage Proces
3、singEnterprise-level DBMSIn-DBMS ML supportGPU-based DBMSASIC/FPGA/GPUData-intensive applicationSmartSSD/SmartNIC/HMC3 of 16HOTCHIPS 2022Trinity:End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data AnalyticsTrinity:In-Database,In-Storage Platform Full Stack Syste
4、m for Near-Data-based In-DBMS ML Inference ML-basedData AnalyticsDatabaseHW AccelerationIn/Near-Data ProcessingEnterprise DBMSsMADlib Spark MLQ100BlazingSQLCPU-FPGAHMCSmartSSDSmartNICGorgonDAnAAquomanMondrianSoftware StackHardwareTrinitySmartSSD-enabled DBMS(PostgreSQL+)Conventional SW StackCPU Exec
5、utorExtended SW StackMADlibSmartSSD Executor(XRT Platform)Host code(XRT C/C+API)Device code(.sv)XRT Linux Kernel DriveSmartSSDNAND Flash(3.84TB)PCIe SwitchFPGA HW Accelerator(i-DPA)FPGADRAM(4GB)PCIe4 of 16HOTCHIPS 2022Trinity:End-to-End In-Database Near-Data Machine Learning Acceleration Platform fo
6、r Advanced Data AnalyticsTrinity:In-Database,In-Storage Platform Full Stack System for Near-Data-based In-DBMS ML Inference SmartSSD-enabled DBMS(PostgreSQL+)Conventional SW StackCPU ExecutorExtended SW StackMADlibSmartSSD Executor(XRT Platform)Host code(XRT C/C+API)Device code(.sv)XRT Linux Kernel