Negation and speculation are common in natural language text. Many applications, such as biomedical text mining and clinical information extraction, seek to distinguish positive/factual objects from negative/speculative ones (i.e., to determine what is negated or speculated) in biomedical texts. This paper proposes a novel task, called negation and speculation target identification, to identify...

Recent research in value prediction, including several recent publications for MICRO, shows a surprising amount of predictability for the values produced by register-writing instructions. Several hardware based value predictor designs have been proposed to exploit this predictability by eliminating flow dependencies for highly predictable values. A hardware and software based technique, value s...

This paper explores how speculators can destabilize financial markets by amplifying negative shocks in periods of market turmoil, and confirms the main predictions of the theoretical analysis using data on money market funds (MMFs). I propose a dynamic trading model with two types of investors —long-term and speculative —who interact in a market with search frictions. During periods of turmoil ...

Transient execution attacks that exploit speculation have raised significant concerns in computer systems. Typically, branch predictors are leveraged to trigger mis-speculation transient attacks. In this work, we demonstrate a new class of speculation-based attack targets prediction unit (BPU). We find speculative resolution conditional branches (i.e., nested speculation) alter the states patte...