Julia v1.4.2 Documentation• Each worker connects to all workers whose id is less than the worker's own id. • In this way a mesh network is established, wherein every worker is directly connected with every other worker. While workers it is connected to. For example, consider a Julia cluster of 32 processes in an all-to-all mesh network: • Each Julia process thus has 31 communication tasks. • Each task handles all incoming a single-threaded machine by default. In order to debug concurrent code you can use rr record --chaos which will cause rr to simulate between one to eight cores, chosen randomly. You might therefore0 码力 | 1314 页 | 4.29 MB | 1 年前3- Julia v1.5.4 Documentation• Each worker connects to all workers whose id is less than the worker's own id. • In this way a mesh network is established, wherein every worker is directly connected with every other worker. While workers it is connected to. For example, consider a Julia cluster of 32 processes in an all-to-all mesh network: • Each Julia process thus has 31 communication tasks. • Each task handles all incoming a single-threaded machine by default. In order to debug concurrent code you can use rr record --chaos which will cause rr to simulate between one to eight cores, chosen randomly. You might therefore0 码力 | 1337 页 | 4.41 MB | 1 年前3
- Julia v1.6.6 Documentation• Each worker connects to all workers whose id is less than the worker's own id. • In this way a mesh network is established, wherein every worker is directly connected with every other worker. While workers it is connected to. For example, consider a Julia cluster of 32 processes in an all-to-all mesh network: • Each Julia process thus has 31 communication tasks. • Each task handles all incoming a single-threaded machine by default. In order to debug concurrent code you can use rr record --chaos which will cause rr to simulate between one to eight cores, chosen randomly. You might therefore0 码力 | 1324 页 | 4.54 MB | 1 年前3
- Julia 1.6.5 Documentation• Each worker connects to all workers whose id is less than the worker's own id. • In this way a mesh network is established, wherein every worker is directly connected with every other worker. While workers it is connected to. For example, consider a Julia cluster of 32 processes in an all-to-all mesh network: • Each Julia process thus has 31 communication tasks. • Each task handles all incoming a single-threaded machine by default. In order to debug concurrent code you can use rr record --chaos which will cause rr to simulate between one to eight cores, chosen randomly. You might therefore0 码力 | 1325 页 | 4.54 MB | 1 年前3
- Julia 1.6.7 Documentation• Each worker connects to all workers whose id is less than the worker's own id. • In this way a mesh network is established, wherein every worker is directly connected with every other worker. While workers it is connected to. For example, consider a Julia cluster of 32 processes in an all-to-all mesh network: • Each Julia process thus has 31 communication tasks. • Each task handles all incoming a single-threaded machine by default. In order to debug concurrent code you can use rr record --chaos which will cause rr to simulate between one to eight cores, chosen randomly. You might therefore0 码力 | 1324 页 | 4.54 MB | 1 年前3
- Julia 1.5.3 Documentation• Each worker connects to all workers whose id is less than the worker's own id. • In this way a mesh network is established, wherein every worker is directly connected with every other worker. While workers it is connected to. For example, consider a Julia cluster of 32 processes in an all-to-all mesh network: • Each Julia process thus has 31 communication tasks. • Each task handles all incoming a single-threaded machine by default. In order to debug concurrent code you can use rr record --chaos which will cause rr to simulate between one to eight cores, chosen randomly. You might therefore0 码力 | 1335 页 | 4.41 MB | 1 年前3
- Julia 1.4.1 Documentation• Each worker connects to all workers whose id is less than the worker's own id. • In this way a mesh network is established, wherein every worker is directly connected with every other worker. While workers it is connected to. For example, consider a Julia cluster of 32 processes in an all-to-all mesh network: • Each Julia process thus has 31 communication tasks. • Each task handles all incoming a single-threaded machine by default. In order to debug concurrent code you can use rr record --chaos which will cause rr to simulate between one to eight cores, chosen randomly. You might therefore0 码力 | 1312 页 | 4.29 MB | 1 年前3
- Julia 1.4.0 Documentation• Each worker connects to all workers whose id is less than the worker's own id. • In this way a mesh network is established, wherein every worker is directly connected with every other worker. While workers it is connected to. For example, consider a Julia cluster of 32 processes in an all-to-all mesh network: • Each Julia process thus has 31 communication tasks. • Each task handles all incoming a single-threaded machine by default. In order to debug concurrent code you can use rr record --chaos which will cause rr to simulate between one to eight cores, chosen randomly. You might therefore0 码力 | 1340 页 | 4.36 MB | 1 年前3
- Julia 1.6.1 Documentation• Each worker connects to all workers whose id is less than the worker's own id. • In this way a mesh network is established, wherein every worker is directly connected with every other worker. While workers it is connected to. For example, consider a Julia cluster of 32 processes in an all-to-all mesh network: • Each Julia process thus has 31 communication tasks. • Each task handles all incoming a single-threaded machine by default. In order to debug concurrent code you can use rr record --chaos which will cause rr to simulate between one to eight cores, chosen randomly. You might therefore0 码力 | 1397 页 | 4.59 MB | 1 年前3
- Julia 1.6.4 Documentation• Each worker connects to all workers whose id is less than the worker's own id. • In this way a mesh network is established, wherein every worker is directly connected with every other worker. While workers it is connected to. For example, consider a Julia cluster of 32 processes in an all-to-all mesh network: • Each Julia process thus has 31 communication tasks. • Each task handles all incoming a single-threaded machine by default. In order to debug concurrent code you can use rr record --chaos which will cause rr to simulate between one to eight cores, chosen randomly. You might therefore0 码力 | 1324 页 | 4.54 MB | 1 年前3
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