Accelerating a random forest classifier: multi-core, GP-GPU, or FPGA?
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 1104991
- Report Number(s):
- LLNL-CONF-522911
- Resource Relation:
- Conference: Presented at: IEEE International Symposium on Field-Programmable Custom Computing Machines, Toronto, Canada, Apr 29 - May 01, 2012
- Country of Publication:
- United States
- Language:
- English
Similar Records
Accelerating Random Forest Classification on GPU and FPGA
OpenACC Unified Programming Environment for Multi-hybrid Acceleration with GPU and FPGA
OpenACC unified programming environment for GPU and FPGA multi-hybrid acceleration
Conference
·
Fri Jan 13 00:00:00 EST 2023
·
OSTI ID:1104991
+3 more
OpenACC Unified Programming Environment for Multi-hybrid Acceleration with GPU and FPGA
Conference
·
Mon May 01 00:00:00 EDT 2023
·
OSTI ID:1104991
+7 more
OpenACC unified programming environment for GPU and FPGA multi-hybrid acceleration
Conference
·
Wed Jul 01 00:00:00 EDT 2020
·
OSTI ID:1104991
+6 more