success, as many variables that affect success lie outside the control of the government program manager and his team. In the government context, Agile represents a good development approach when customizing team responsible for execution. The release team includes a core team composed of the project manager, product owner, tester, and system engineer, and a development team led by a scrum master (scrum Responsibilities Program Manager Manages the requirements, funding, and acquisition processes while also overseeing the planning of each release and high-level program increment. Project Manager* Manages the

. . . . . . . . . . 1354 69 Delimited Files 1385 70 Distributed Computing 1390 70.1 Cluster Manager Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1409 71 Downloads 1413 listening on a free port and writes out its host and port information to stdout. • The cluster manager captures the stdout of each worker and makes it available to the master pro- cess.CHAPTER 26. MULTI-PROCESSING same host, thereby leveraging multi-core and multi-processor hardware. Thus, a minimal cluster manager would need to: • be a subtype of the abstract ClusterManager • implement launch, a method responsible

. . . . . . . . . . 1352 69 Delimited Files 1383 70 Distributed Computing 1388 70.1 Cluster Manager Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1407 71 Downloads 1411 listening on a free port and writes out its host and port information to stdout. • The cluster manager captures the stdout of each worker and makes it available to the master pro- cess.CHAPTER 26. MULTI-PROCESSING same host, thereby leveraging multi-core and multi-processor hardware. Thus, a minimal cluster manager would need to: • be a subtype of the abstract ClusterManager • implement launch, a method responsible

. . . . . . . . . . 1351 69 Delimited Files 1382 70 Distributed Computing 1387 70.1 Cluster Manager Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1406 71 Downloads 1410 listening on a free port and writes out its host and port information to stdout. • The cluster manager captures the stdout of each worker and makes it available to the master pro- cess.CHAPTER 26. MULTI-PROCESSING same host, thereby leveraging multi-core and multi-processor hardware. Thus, a minimal cluster manager would need to: • be a subtype of the abstract ClusterManager • implement launch, a method responsible

. . . . . . . . . . 1351 69 Delimited Files 1382 70 Distributed Computing 1387 70.1 Cluster Manager Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1406 71 Downloads 1410 listening on a free port and writes out its host and port information to stdout. • The cluster manager captures the stdout of each worker and makes it available to the master pro- cess.CHAPTER 26. MULTI-PROCESSING same host, thereby leveraging multi-core and multi-processor hardware. Thus, a minimal cluster manager would need to: • be a subtype of the abstract ClusterManager • implement launch, a method responsible

. . . . . . . . . . 1343 68 Delimited Files 1374 69 Distributed Computing 1379 69.1 Cluster Manager Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1398 70 Downloads 1402 listening on a free port and writes out its host and port information to stdout. • The cluster manager captures the stdout of each worker and makes it available to the master pro- cess.CHAPTER 26. MULTI-PROCESSING same host, thereby leveraging multi-core and multi-processor hardware. Thus, a minimal cluster manager would need to: • be a subtype of the abstract ClusterManager • implement launch, a method responsible

. . . . . . . . . . 1301 68 Delimited Files 1332 69 Distributed Computing 1337 69.1 Cluster Manager Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1355 70 Downloads 1359 listening on a free port and writes out its host and port information to stdout. • The cluster manager captures the stdout of each worker and makes it available to the master pro- cess.CHAPTER 26. MULTI-PROCESSING same host, thereby leveraging multi-core and multi-processor hardware. Thus, a minimal cluster manager would need to: • be a subtype of the abstract ClusterManager • implement launch, a method responsible

. . . . . . . . . . 1301 68 Delimited Files 1332 69 Distributed Computing 1337 69.1 Cluster Manager Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1355 70 Downloads 1359 listening on a free port and writes out its host and port information to stdout. • The cluster manager captures the stdout of each worker and makes it available to the master pro- cess.CHAPTER 26. MULTI-PROCESSING same host, thereby leveraging multi-core and multi-processor hardware. Thus, a minimal cluster manager would need to: • be a subtype of the abstract ClusterManager • implement launch, a method responsible

. . . . . . . . . . 1301 68 Delimited Files 1332 69 Distributed Computing 1337 69.1 Cluster Manager Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1355 70 Downloads 1359 listening on a free port and writes out its host and port information to stdout. • The cluster manager captures the stdout of each worker and makes it available to the master pro- cess.CHAPTER 26. MULTI-PROCESSING same host, thereby leveraging multi-core and multi-processor hardware. Thus, a minimal cluster manager would need to: • be a subtype of the abstract ClusterManager • implement launch, a method responsible

np from tvm import relay 2. Load a pretrained network mod, params = relay.testing.mobilenet.get_workload(batch_size=1) 3. Partition and build the network with an external codegen mod = relay.build_extern(mod ib//graph_annotator.py ● Apply the annotator to a workload: mod, params = relay.testing.mobilenet.get_workload(batch_size=1) mod[‘main’] = MyAnnotator().visit(mod[‘main’]) mod = relay