Present work was planned to investigate the improvement in photosynthetic pigments of Cicer arietinum by Conocarpus lancifolius growing under copper stress. Conocarpus lancifolius was chosen as a biosorbent because it is abundantly and easily available plant of Province Sindh. It does not require so much efforts or money or even water to cultivate them, moreover, it is a fast grower. Plants were grown in randomized block design in triplicates. Each pot was supplied with 1kg of soil, the control plants were supplied with distilled water only, experimental plants were supplied with different concentration of copper viz. 0, 25, 50, 75 and 100 ppm whereas treated plants were supplied with 5gm Conocarpus lancifolius leaf powder along with the different concentration of copper. Effect of Copper on Cicer arietinum and its biosorption by Conocarpus lancifolius was observed by the determination of photosynthetic pigments (chlorophyll a, b, total chlorophylls and carotenoids) and its products (glucose, sucrose and total soluble sugars). Various parameters were also analyzed to correlate and confirm our results like % germination, root and shoot lengths, leaf area and relative water content. C. lancifolius was found not only an efficient, eco-friendly and cost-effective biosorbent for heavy metal copper but it is also an effective fertilizer too.
With the increasing need of computational power the trend towards multicore processors is ubiquitous. The current on-chip architecture comprises multiple cores which usually share last level cache which can be physically distributed on chip. In order to provide system predictability, especially for a real time system where quality of service (QoS) depends on minimum miss rates and low worst case execution time (WCET) for applications running on different cores, efficient cache management techniques are required. Since memory hierarchy and its management is the key of overall system performance and access to off-chip memory for data consumes many clock cycles along with many units of power it is important to restrict the off-chip access and provide the optimum solution for the on-chip access. To increase performance and energy efficiency, various techniques are proposed. This article aims to provide the researchers with the state-of-the-art critical review of the various approaches that focus on data replication and cache partitioning techniques for L3 cache. The existing literature is presented through several classifications based on appropriate design and algorithm. Maintaining energy efficient system is a crucial challenge for multicore processors. We have discussed various techniques which address upscaling performance without compromising on energy efficiency. Lastly, different literature work is discussed where authors evaluate cache and/or various processors for high performance applications such as bioinformatics, image and video processing, IOT applications and applications using DSP processors.
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