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Event related potentials (ERP) corresponding to stimuli in electroencephalography (EEG) can be used to detect the intent of a person for brain computer interfaces (BCI). This paradigm is widely used to build letter-byletter text input systems using BCI. Nevertheless using a BCI-typewriter depending only on EEG responses will not be sufﬁciently accurate for single-trial operation in general, and existing systems utilize many-trial schemes to achieve accuracy at the cost of speed.
powerful and widely-used method for analyzing the performance behavior of
parallel programs is event tracing. When an application is traced, performancerelevant
events, such as entering functions or sending messages, are recorded at runtime
and analyzed post-mortem to identify and potentially remove performance problems.
While event tracing enables the detection of performance problems at a high
level of detail, growing trace-file size often constrains its scalability on large-scale
systems and complicates management, analysis, and visualization of trace data.