sequencing (packets are ordered by the operating system before they are given to the application), segment size, and session setup and teardown. UDP provides no such features. A common use for UDP is in likely change each evaluation. To fix this, buffers that are specific to the task may be used to segment the sum into chunks that are race-free. Here sum_single is reused, with its own internal buffer it's fairly obvious that a given CPU will have fastest access to the RAM within the same computer (node). Perhaps more surprisingly, similar issues are relevant on a typical multicore laptop, due to differences

sequencing (packets are ordered by the operating system before they are given to the application), segment size, and session setup and teardown. UDP provides no such features. A common use for UDP is in likely change each evaluation. To fix this, buffers that are specific to the task may be used to segment the sum into chunks that are race-free. Here sum_single is reused, with its own internal buffer it's fairly obvious that a given CPU will have fastest access to the RAM within the same computer (node). Perhaps more surprisingly, similar issues are relevant on a typical multicore laptop, due to differences

sequencing (packets are ordered by the operating system before they are given to the application), segment size, and session setup and teardown. UDP provides no such features. A common use for UDP is in likely change each evaluation. To fix this, buffers that are specific to the task may be used to segment the sum into chunks that are race- free. Here sum_single is reused, with its own internal buffer it's fairly obvious that a given CPU will have fastest access to the RAM within the same computer (node). Perhaps more surprisingly, similar issues are relevant on a typical multicore laptop, due to differences

sequencing (packets are ordered by the operating system before they are given to the application), segment size, and session setup and teardown. UDP provides no such features. A common use for UDP is in likely change each evaluation. To fix this, buffers that are specific to the task may be used to segment the sum into chunks that are race- free. Here sum_single is reused, with its own internal buffer it's fairly obvious that a given CPU will have fastest access to the RAM within the same computer (node). Perhaps more surprisingly, similar issues are relevant on a typical multicore laptop, due to differences

sequencing (packets are ordered by the operating system before they are given to the application), segment size, and session setup and teardown. UDP provides no such features. A common use for UDP is in likely change each evaluation. To fix this, buffers that are specific to the task may be used to segment the sum into chunks that are race- free. Here sum_single is reused, with its own internal buffer it's fairly obvious that a given CPU will have fastest access to the RAM within the same computer (node). Perhaps more surprisingly, similar issues are relevant on a typical multicore laptop, due to differences

sequencing (packets are ordered by the operating system before they are given to the application), segment size, and session setup and teardown. UDP provides no such features. A common use for UDP is in likely change each evaluation. To fix this, buffers that are specific to the task may be used to segment the sum into chunks that are race- free. Here sum_single is reused, with its own internal buffer it's fairly obvious that a given CPU will have fastest access to the RAM within the same computer (node). Perhaps more surprisingly, similar issues are relevant on a typical multicore laptop, due to differences

sequencing (packets are ordered by the operating system before they are given to the application), segment size, and session setup and teardown. UDP provides no such features. A common use for UDP is in likely change each evaluation. To fix this, buffers that are specific to the task may be used to segment the sum into chunks that are race- free. Here sum_single is reused, with its own internal buffer it's fairly obvious that a given CPU will have fastest access to the RAM within the same computer (node). Perhaps more surprisingly, similar issues are relevant on a typical multicore laptop, due to differences

sequencing (packets are ordered by the operating system before they are given to the application), segment size, and session setup and teardown. UDP provides no such features. A common use for UDP is in likely change each evaluation. To fix this, buffers that are specific to the task may be used to segment the sum into chunks that are race- free. Here sum_single is reused, with its own internal buffer it's fairly obvious that a given CPU will have fastest access to the RAM within the same computer (node). Perhaps more surprisingly, similar issues are relevant on a typical multicore laptop, due to differences

sequencing (packets are ordered by the operating system before they are given to the application), segment size, and session setup and teardown. UDP provides no such features. A common use for UDP is in likely change each evaluation. To fix this, buffers that are specific to the task may be used to segment the sum into chunks that are race- free. Here sum_single is reused, with its own internal buffer it's fairly obvious that a given CPU will have fastest access to the RAM within the same computer (node). Perhaps more surprisingly, similar issues are relevant on a typical multicore laptop, due to differences

sequencing (packets are ordered by the operating system before they are given to the application), segment size, and session setup and teardown. UDP provides no such features. A common use for UDP is in likely change each evaluation. To fix this, buffers that are specific to the task may be used to segment the sum into chunks that are race- free. Here sum_single is reused, with its own internal buffer it's fairly obvious that a given CPU will have fastest access to the RAM within the same computer (node). Perhaps more surprisingly, similar issues are relevant on a typical multicore laptop, due to differences