| 1. |
- Foley, Jonathan A., et al.
(författare)
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Solutions for a cultivated planet
- 2011
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Ingår i: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 478:7369, s. 337-342
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Tidskriftsartikel (refereegranskat)abstract
- Increasing population and consumption are placing unprecedented demands on agriculture and natural resources. Today, approximately a billion people are chronically malnourished while our agricultural systems are concurrently degrading land, water, biodiversity and climate on a global scale. To meet the world's future food security and sustainability needs, food production must grow substantially while, at the same time, agriculture's environmental footprint must shrink dramatically. Here we analyse solutions to this dilemma, showing that tremendous progress could be made by halting agricultural expansion, closing 'yield gaps' on underperforming lands, increasing cropping efficiency, shifting diets and reducing waste. Together, these strategies could double food production while greatly reducing the environmental impacts of agriculture.
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| 2. |
- Larsen, P, et al.
(författare)
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Parallelizing more loops with compiler guided refactoring
- 2012
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Ingår i: Proceedings of the International Conference on Parallel Processing. 41st International Conference on Parallel Processing, ICPP 2012, Pittsburgh, PA, 10 - 13 September 2012. - 0190-3918. - 9780769547961 ; , s. 410-419
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Konferensbidrag (refereegranskat)abstract
- The performance of many parallel applications relies not on instruction-level parallelism but on loop-level parallelism. Unfortunately, automatic parallelization of loops is a fragile process, many different obstacles affect or prevent it in practice. To address this predicament we developed an interactive compilation feedback system that guides programmers in iteratively modifying their application source code. This helps leverage the compiler's ability to generate loop-parallel code. We employ our system to modify two sequential benchmarks dealing with image processing and edge detection, resulting in scalable parallelized code that runs up to 8.3 times faster on an eight-core Intel Xeon 5570 system and up to 12.5 times faster on a quad-core IBM POWER6 system. Benchmark performance varies significantly between the systems. This suggests that semi-automatic parallelization should be combined with target-specific optimizations. Furthermore, comparing the first benchmark to manually-parallelized, hand-optimized pthreads and OpenMP versions, we find that code generated using our approach typically outperforms the pthreads code (within 93-339%). It also performs competitively against the OpenMP code (within 75-111%). The second benchmark outperforms manually-parallelized and optimized OpenMP code (within 109-242%).
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| 3. |
- Puzovic, N., et al.
(författare)
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A multi-pronged approach to benchmark characterization
- 2010
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Ingår i: 2010 IEEE International Conference on Cluster Computing Workshops and Posters, Cluster Workshops 2010. - 9781424483969
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Understanding the behavior of current and future workloads is key for designers of future computer systems. If target workload characteristics are available, computer designers can use this information to optimize the system. This can lead to a chicken-and-egg problem: how does one characterize application behavior for an architecture that is a moving target and for which sophisticated modeling tools do not yet exist? We present a multi-pronged approach to benchmark characterization early in the design cycle. We collect statistics from multiple sources and combine them to create a comprehensive view of application behavior. We assume a fixed part of the system (service core) and a "to-be-designed" part that will gradually be developed under the measurements taken on the fixed part. Data are collected from measurements taken on existing hardware and statistics are obtained via emulation tools. These are supplemented with statistics extracted from traces and ILP information generated by the compiler. Although the motivation for this work is the classification of workloads for an embedded, reconfigurable, parallel architecture, the methodology can easily be adapted to other platforms. © 2010 IEEE.
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