AI最新基准
Google, Baidu spearhead MLPerf
Rick Merritt, EETimes
5/2/2018 11:55 AM EDT
SAN JOSE, Calif. — Google and Baidu collaborated with researchers at Harvard and Stanford to define a suite of benchmarks for machine learning. So far, AMD, Intel, two AI startups, and two other universities have expressed support for MLPerf, an initial version of which will be ready for use in August.
Today’s hardware falls far short of running neural-networking jobs at the performance levels desired. A flood of new accelerators are coming to market, but the industry lacks ways to measure them.
To fill the gap, the first release of MLPerf will focus on training jobs on a range of systems from workstations to large data centers, a big pain point for web giants such as Baidu and Google. Later releases will expand to include inference jobs, eventually extended to include ones run on embedded client systems.
To read the full article, click here
Related Semiconductor IP
- DDR5 MRDIMM PHY and Controller
- RVA23, Multi-cluster, Hypervisor and Android
- HBM4E PHY and controller
- 64 bit RISC-V Multicore Processor with 2048-bit VLEN and AMM
- NPU IP Core for Mobile
Related News
- 尝试海豚集成(Dolphin Integration)的MIWOK,语音检测器的设计基准
- 新的EEMBC基准目标物联网安全功能
- EEMBC基准测试验证集成微控制器外设的能源成本
- Mentor为Microsoft Azure半导体设计工作负载设置了全新软件扩展基准