您可以根据需要将其扩展至任意高，而且很多人进行高频交易，这需要 HPC 以及对 Unix 和 C++ 的深入了解。
值得研究一下，我的 2 美分。
One hot field right now is in the area of algorithmic trading. You can sign up for $3000 (if you're under 21 -- it's $10k for over 21) at InteractiveBrokers.com and they will give you a free paper trading account (which is fake money traded using realtime data) of $10,000,000. They have API's in C#, C++, VB, Java and reasonable support... You could write your own stock pair trading algorithm. They have good documentation on how to get started.
You can scale this as high as you want, also a lot of people do high frequency trading which requires hpc and in-depth knowledge of Unix and C++.
Perhaps massively parallel processing? Libraries like Cuda, OpenCL, and DirectCompute are just blossoming, and have a high likelihood of becoming commonplace. In my company, we are researching uses for OpenCL, and we're finding that it has the potential to revolutionize our industry.
I would suggest looking at Sandia National Labs's SST (The Structural Simulation Toolkit). Its a highly parallel simulator framework used for HPC. It uses and incorporates other simulators from academia and industry. For instance, it currently integrates GEM5, QSim, MacSim, DRAMSim, Merlin, Portals, DRAMSim2, Iris, etc. Moreover, it is open source so you can contribute to the development.
You could work on integrating other academia components into SST, improve the interface of one of the components with SST, or just improve of the components themselves.
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目前的一个热门领域是算法交易领域。您可以在 InteractiveBrokers.com 上注册，费用为 3000 美元（如果您未满 21 岁，则 21 岁以上为 10,000 美元），他们会给你一个10,000,000美元的免费模拟交易账户（这是使用实时数据交易的假钱）。他们有 C#、C++、VB、Java 的 API 和合理的支持...您可以编写自己的股票对交易算法。他们有关于如何开始的良好文档。
您可以根据需要将其扩展至任意高，而且很多人进行高频交易，这需要 HPC 以及对 Unix 和 C++ 的深入了解。
值得研究一下，我的 2 美分。
One hot field right now is in the area of algorithmic trading. You can sign up for $3000 (if you're under 21 -- it's $10k for over 21) at InteractiveBrokers.com and they will give you a free paper trading account (which is fake money traded using realtime data) of $10,000,000. They have API's in C#, C++, VB, Java and reasonable support... You could write your own stock pair trading algorithm. They have good documentation on how to get started.
You can scale this as high as you want, also a lot of people do high frequency trading which requires hpc and in-depth knowledge of Unix and C++.
Worth looking into, my 2 cents.
也许大规模并行处理？像 Cuda、OpenCL 和 DirectCompute 这样的库才刚刚兴起，并且很可能变得司空见惯。在我的公司，我们正在研究 OpenCL 的用途，我们发现它有可能彻底改变我们的行业。
只是一个想法。
Perhaps massively parallel processing? Libraries like Cuda, OpenCL, and DirectCompute are just blossoming, and have a high likelihood of becoming commonplace. In my company, we are researching uses for OpenCL, and we're finding that it has the potential to revolutionize our industry.
Just a thought.
我建议查看桑迪亚国家实验室的 SST（结构模拟工具包）。它是一个用于 HPC 的高度并行模拟器框架。它使用并合并了学术界和工业界的其他模拟器。例如，它目前集成了GEM5、QSim、MacSim、DRAMSim、Merlin、Portals、DRAMSim2、Iris等。而且，它是开源的，因此您可以为开发做出贡献。
您可以致力于将其他学术界组件集成到 SST 中，改进其中一个组件与 SST 的接口，或者只是改进组件本身。
I would suggest looking at Sandia National Labs's SST (The Structural Simulation Toolkit). Its a highly parallel simulator framework used for HPC. It uses and incorporates other simulators from academia and industry. For instance, it currently integrates GEM5, QSim, MacSim, DRAMSim, Merlin, Portals, DRAMSim2, Iris, etc. Moreover, it is open source so you can contribute to the development.
You could work on integrating other academia components into SST, improve the interface of one of the components with SST, or just improve of the components themselves.