Julia programmers may never feel the need to write code that explicitly uses types. Some kinds of pro- gramming, however, become clearer, simpler, faster and more robust with declared types. 12.1 Type Sometimes, you want a container (like an array) that would normally participate in broadcast to be "pro- tected" from broadcast's behavior of iterating over all of its elements. By placing it inside another It is common to want to create a task and schedule it right away, so the macro Threads.@spawn is pro- vided for that purpose — Threads.@spawn x is equivalent to task = @task x; task.sticky = false;

Julia programmers may never feel the need to write code that explicitly uses types. Some kinds of pro- gramming, however, become clearer, simpler, faster and more robust with declared types. 12.1 Type Sometimes, you want a container (like an array) that would normally participate in broadcast to be "pro- tected" from broadcast's behavior of iterating over all of its elements. By placing it inside another It is common to want to create a task and schedule it right away, so the macro Threads.@spawn is pro- vided for that purpose –- Threads.@spawn x is equivalent to task = @task x; task.sticky = false;

Julia programmers may never feel the need to write code that explicitly uses types. Some kinds of pro- gramming, however, become clearer, simpler, faster and more robust with declared types. 12.1 Type Sometimes, you want a container (like an array) that would normally participate in broadcast to be "pro- tected" from broadcast's behavior of iterating over all of its elements. By placing it inside another It is common to want to create a task and schedule it right away, so the macro Threads.@spawn is pro- vided for that purpose –- Threads.@spawn x is equivalent to task = @task x; task.sticky = false;

Julia programmers may never feel the need to write code that explicitly uses types. Some kinds of pro- gramming, however, become clearer, simpler, faster and more robust with declared types. 12.1 Type Sometimes, you want a container (like an array) that would normally participate in broadcast to be "pro- tected" from broadcast's behavior of iterating over all of its elements. By placing it inside another It is common to want to create a task and schedule it right away, so the macro Threads.@spawn is pro- vided for that purpose –- Threads.@spawn x is equivalent to task = @task x; task.sticky = false;

Julia programmers may never feel the need to write code that explicitly uses types. Some kinds of pro- gramming, however, become clearer, simpler, faster and more robust with declared types. 12.1 Type Sometimes, you want a container (like an array) that would normally participate in broadcast to be "pro- tected" from broadcast's behavior of iterating over all of its elements. By placing it inside another It is common to want to create a task and schedule it right away, so the macro Threads.@spawn is pro- vided for that purpose –- Threads.@spawn x is equivalent to task = @task x; task.sticky = false;

Julia programmers may never feel the need to write code that explicitly uses types. Some kinds of pro- gramming, however, become clearer, simpler, faster and more robust with declared types. 11.1 Type Sometimes, you want a container (like an array) that would normally participate in broadcast to be "pro- tected" from broadcast's behavior of iterating over all of its elements. By placing it inside another worker. Note While Julia generally strives for backward compatibility, distribution of code to worker pro- cesses relies on Serialization.serialize. As pointed out in the corresponding documen- tation, this

Julia programmers may never feel the need to write code that explicitly uses types. Some kinds of pro- gramming, however, become clearer, simpler, faster and more robust with declared types. 11.1 Type Sometimes, you want a container (like an array) that would normally participate in broadcast to be "pro- tected" from broadcast's behavior of iterating over all of its elements. By placing it inside another worker. Note While Julia generally strives for backward compatibility, distribution of code to worker pro- cesses relies on Serialization.serialize. As pointed out in the corresponding documen- tation, this

Julia programmers may never feel the need to write code that explicitly uses types. Some kinds of pro- gramming, however, become clearer, simpler, faster and more robust with declared types. 12.1 Type Sometimes, you want a container (like an array) that would normally participate in broadcast to be "pro- tected" from broadcast's behavior of iterating over all of its elements. By placing it inside another stdout. • The cluster manager captures the stdout of each worker and makes it available to the master pro- cess.CHAPTER 26. MULTI-PROCESSING AND DISTRIBUTED COMPUTING 348 • The master process parses this

Julia programmers may never feel the need to write code that explicitly uses types. Some kinds of pro- gramming, however, become clearer, simpler, faster and more robust with declared types. 12.1 Type Sometimes, you want a container (like an array) that would normally participate in broadcast to be "pro- tected" from broadcast's behavior of iterating over all of its elements. By placing it inside another stdout. • The cluster manager captures the stdout of each worker and makes it available to the master pro- cess.CHAPTER 26. MULTI-PROCESSING AND DISTRIBUTED COMPUTING 348 • The master process parses this

Julia programmers may never feel the need to write code that explicitly uses types. Some kinds of pro- gramming, however, become clearer, simpler, faster and more robust with declared types. 12.1 Type Sometimes, you want a container (like an array) that would normally participate in broadcast to be "pro- tected" from broadcast's behavior of iterating over all of its elements. By placing it inside another stdout. • The cluster manager captures the stdout of each worker and makes it available to the master pro- cess.CHAPTER 26. MULTI-PROCESSING AND DISTRIBUTED COMPUTING 348 • The master process parses this