With the ever-increasing size of software and hardware components and the complexity of configurations, large-scale analytics systems face the challenge of frequent transient faults and permanent failures. As an indispensable part of big data analytics, MapReduce is equipped with a speculation mechanism to cope with run-time stragglers and failures. However, we reveal that the existing speculat...

Developments in parallel architectures are an important branch in computer science. The success of such architectures derives from their inherent ability to improve the program performances. However, their ability to improve the performance on programs depends on the parallelism extraction strategies, which are always limited by the logic of each sequential program. Speculation is the only know...

Data dependences are a major limitation to the amount of instruction-level parallelism (ILP) that current processors can achieve. Data value speculation is a promising emerging approach that can eliminate the ordering imposed by data dependences. The objective of this work is to establish the performance potential of data value speculation. First, we study the performance of data value speculat...

The Multiscalar architecture executes a single sequential program following multiple flows of control. In the Multiscalar hardware, a global sequencer, with help from the compiler, takes large steps through the program’s control flow graph (CFG) speculatively, starting a new thread of control (task) at each step. This is inter-task control flow speculation. Within a task, traditional control fl...

Compiler-controlled speculation has been shown to be effective in increasing instruction level parullelism (ILP) found in non-numeric programs. However, it is not clear the extent to which speculatively scheduled code may affect the instruction and data caches. In particular, the amount of time spent resolving cache mis.qes may be significant enough to prevent the more aggressitle speculation m...

A large number of studies have confirmed that oil speculation has played a vital role in price fluctuation recent years. However, the heterogeneous impact financialization on not received enough attention. Based time series data from January 1990 to October 2021, this paper adopts Time-Varying Parameter Vector Auto-Regression (TVP-VAR) model and Ensemble Empirical Mode Decomposition (EEMD) meth...

s 94.99 94.35 94.67 Papers 90.48 87.47 88.95 Negation cue recognition Clinical 86.81 88.54 87.67 Abstracts 83.74 93.14 88.19 Papers 73.02 82.31 77.39 Speculation cue recognition Clinical 33.33 91.77 48.90s 83.74 93.14 88.19 Papers 73.02 82.31 77.39 Speculation cue recognition Clinical 33.33 91.77 48.90 Table 9: Performance of automatic cue recognition with automatic parse trees on the three sub...

Synchronization between independently clocked regions in a high performance system is often subject to latencies of more than one clock cycle. We show how the latency can be reduced significantly, typically to half the number of clock cycles required for high reliability, by speculating that a long synchronization time is not required. The small number of synchronization metastability times lon...

Compiler-controlled speculation has been shown to be eeec-tive in increasing instruction level parallelism (ILP) found in non-numeric programs. However, it is not clear the extent to which speculatively scheduled code may aaect the instruction and data caches. In particular, the amount of time spent resolving cache misses may be signiicant enough to prevent the more aggressive speculation model...