Kartik Sudeep

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Mambo is a full-system simulator for modeling PowerPC-based systems. It provides building blocks for creating simulators that range from purely functional to timing-accurate. Functional versions support fast emulation of individual PowerPC instructions and the devices necessary for executing operating systems. Timing-accurate versions add the ability to(More)
As performance advances achievable through chip fabrication technology are reaching their limits, other areas of system design need to be explored. Several different possibilities exist. Our research in the context of the DARPA HPCS project PERCS [11] aims at an infrastructure to characterize and understand the interactions between hardware and software and(More)
This paper describes the design and application of a full-system simulation environment that has been widely used in the exploration of the IBM PowerPCt processor and system design. The IBM full-system simulator has been developed to meet the needs of hardware and software designers for fast, accurate, execution-driven simulation of complete systems,(More)
Aim. To explore the effects of curcumin on phosphate carrier (PiC) and its role in protection against doxorubicin induced myocyte toxicity. Methods. Using H9c2 cell line, the cardiotoxic effect of doxorubicin and its mitigation by curcumin were studied. H9c2 cells were cultured with doxorubicin and/or curcumin at various concentrations. Analysis for(More)
As the speeds of microprocessors continue to follow Moore's law, memory speeds keep lagging farther behind so as to make the "memory wall" more and more distinct. In order for a processor architect to be able to evaluate the right micro-architectural features for the design, a study of the memory behavior of the applications becomes essential. In this paper(More)
Developing dynamic power management strategies for high performance systems requires a good understanding of the power-performance trade-offs underlining the workload-strategy-system interactions. The feasibility of detailed simulations to help here is severely limited by the range of problem sizes that can be simulated and simulation speed. For our work we(More)
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