It has a high parallelism, a better universal and global optimization capabilities. And therefore, it has been widely used in many scientific fields.
它具有较高的并行性及较好的普适性和全局寻优能力，因此已在许多科学领域得到了广泛的应用。
Due to the high parallelism and recognition ability of the biomolecules in biochemical reactions, biomolecular computing behaves great advantage in solving combinatorial optimization problems.
由于生物分子在化学反应中具有高度的并行性和识别能力，使生物分子计算在解决组合优化问题中显示出巨大的优势。
These sorts of applications are characterized by large amounts of live heap data and considerable thread-level parallelism, and are often run on high-end multi-core processors.
这类应用的特点是存在大量活跃堆数据和线程级别的并发，并且往往运行在高端多核处理器上。
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