Abstract
The large gains in computational capability which are required in the future by problems in computational quantum chemistry must come from advances in both parallel architectures and algorithms. The relation between algorithms and architecture is discussed, with examples of non-numerical algorithms for which future architectures should facilitate implementation. The use of timespace complexity trade-offs is discussed. A parallel language extension and architecture targeted towards general numerical and nonnumerical algorithms being developed by Myrias Research Corporation is briefly presented.
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