A workflow runtime environment for manycore parallel architectures

7.4 Runtime memory optimization and GPU/manycore architectures

Manufacturing-time process (P) variations and runtime variations in voltage (V) and temperature (T) can affect a DRAM's performance (internal delays) severely. To counter the effects of these variations, DRAM vendors provide substantial design-time PVT margins to guarantee correct DRAM functionality under worst-case conditions. Unfortunately, with technology scaling these design margins have be...

7.4 Runtime memory optimization and GPU/manycore architectures

Manufacturing-time process (P) variations and runtime variations in voltage (V) and temperature (T) can affect a DRAM's performance (internal delays) severely. To counter the effects of these variations, DRAM vendors provide substantial design-time PVT margins to guarantee correct DRAM functionality under worst-case conditions. Unfortunately, with technology scaling these design margins have be...

Efficient Runtime Systems for Parallel Architectures

Exploiting Manycore Architectures for Parallel Data Stream Processing

Towards a Generalised Runtime Environment for Parallel Haskells

Implementations of parallel dialects (or: coordination languages) on a functional base (or: computation) language always have to extend complex runtime environments by the even more complex parallelism to maintain a high level of abstraction. Starting from two parallel dialects of the purely functional language Haskell and their implementations, we generalise the characteristics of Haskell-base...