refine course 7 ppsx and pdf content (microsoft#30)

* refine course 7 ppsx and pdf content

* rm hived word

Author: YanjieGao

Lectures/BasicTopics/SystemforAI-7-Platform.ppsx

@@ -57,7 +57,7 @@
 |4|矩阵运算与计算机体系结构|矩阵运算，CPU/SIMD, GPGPU, ASIC/TPU <br>论文和系统：Blas, TPU|
 |5|分布式训练算法|数据并行，模型并行，分布式SGD <br>论文和系统：PipeDream|
 |6|分布式训练系统|MPI, parameter servers, all-reduce, RDMA <br>论文和系统: Horovod|
-|7|异构计算集群调度与资源管理系统|集群上运行DNN任务：容器，资源分配，调度 <br>论文和系统：Kubeflow, OpenPAI, Gandiva, HiveD|
+|7|异构计算集群调度与资源管理系统|集群上运行DNN任务：容器，资源分配，调度 <br>论文和系统：Kubeflow, OpenPAI, Gandiva|
 |8|深度学习推导系统|效率，延迟，吞吐量，部署 <br>论文和系统：TensorRT, TensorFlowLite, ONNX|
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README.md

@@ -59,7 +59,7 @@ Lectures have two parts--basic courses and advanced courses. The first part is f
 |4|Computer architecture for Matrix computation|Matrix computation, CPU/SIMD, GPGPU, ASIC/TPU <br>Papers and systems: Blas, TPU|
 |5|Distributed training algorithms|Data parallelism, model parallelism, distributed SGD <br>Papers and systems: PipeDream|
 |6|Distributed training systems|MPI, parameter servers, all-reduce, RDMA <br>Papers and systems: Horovod|
-|7|Scheduling and resource management system|Running dnn job on cluster: container, resource allocation, scheduling <br>Papers and systems: Kubeflow, OpenPAI,Gandiva, HiveD|
+|7|Scheduling and resource management system|Running dnn job on cluster: container, resource allocation, scheduling <br>Papers and systems: Kubeflow, OpenPAI,Gandiva|
 |8|Inference systems|Efficiency, latency, throughput, and deployment <br>Papers and systems: TensorRT, TensorflowLite, ONNX|
 ||||