智核

在异构资源统一调度方面，Aidos 致力于打破不同类型计算资源（如 CPU、GPU、FPGA 等）之间的隔阂。它能够精准识别各类资源的特性，将来自不同架构、性能各异的资源进行有机整合，实现统一的管理与调配，确保各类资源在运行过程中协同配合，避免资源闲置或过度负载，充分释放异构资源的潜力。
鉴于不同计算任务对数据精度的要求各不相同，Aidos 能够依据任务的具体特性，智能地为其分配与之适配的精度级别。对于对精度要求极高的任务，分配高精度计算资源；而对于可容忍一定精度损失、更注重计算速度的任务，则采用低精度计算方式，以此在保障任务完成质量的同时，大幅提升计算效率，降低计算成本。

In terms of unified scheduling of heterogeneous resources, Aidos aims to break the barriers between different types of computing resources such as CPUs, GPUs, FPGAs, etc. It can accurately identify the characteristics of various resources, organically integrate resources with different architectures and performance levels, realize unified management and allocation, ensure the collaborative operation of all resources during operation, avoid resource idling or overloading, and fully unleash the potential of heterogeneous resources.

Given that different computing tasks have varying requirements for data accuracy, Aidos can intelligently allocate matching accuracy levels to them based on the specific characteristics of each task. For tasks with extremely high accuracy requirements, high-precision computing resources are allocated; for tasks that can tolerate a certain degree of accuracy loss and prioritize computing speed, low-precision computing methods are adopted. In this way, while ensuring the quality of task completion, computing efficiency is greatly improved and computing costs are reduced.