Mars: A MapReduce Framework on graphics processors
By Bingsheng He, Wenbin Fang, Qiong Luo, Naga K. Govindaraju, Tuyong Wang. International Conference on Parallel Architectures and Compilation Techniques, 2008
838 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/d57d75a95d1df5a421de98c34679ac719f374b76
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jimmy J. Lin
- Michael Garland
- Nadathur Rajagopalan Satish
- Chris Dyer
- Shuai Che
- Jeremy W. Sheaffer
- Michael Boyer
- Onur Mutlu
In Computer Networks and Communications
- Onur Mutlu
- Saugata Ghose
- Rachata Ausavarungnirun
- Mahmut Taylan Kandemir
- Shuai Che
- Adwait Jog
- Michael Garland
- Christopher J. Rossbach
In Information Systems
- Saugata Ghose
- Rachata Ausavarungnirun
- R. Ranjan
- Jie Tao
- Jimmy J. Lin
- Onur Mutlu
- Christopher J. Rossbach
- Kevin Skadron
Citations in the corpus
- Rodinia: A benchmark suite for heterogeneous computing (2009, methodology): “The Similarity Score kernel is programmed using Mars’ MapReduce API framework [10].”
- G-Hadoop: MapReduce across distributed data centers for data-intensive computing (2013, methodology): “Other MapReduce implementations are available for various architectures, such as for CUDA [26], in a multicore architecture [27], in FPGA platforms [28], for amultiprocessor architecture [29], in a large-scale shared-memory system [30], in a large-scale cluster [31], in multiple virtual machines [32”
- OWL: cooperative thread array aware scheduling techniques for improving GPGPU performance (2013, methodology): “SPMV H (2.19x) 65% 30 Rodinia Leukocyte LYTE L (1.08x) 15% 12 3rd Party JPEG Decoding JPEG H (2.12x) 54% 31 Rodinia LU Decomposition LUD L (1.05x) 64% 13 Rodinia Breadth First Search BFSR H (2.09x) 64% 32 Parboil Matrix Multiplication MM L (1.04x) 4% 14 Rodinia Streamcluster SC H (1.94x) 52% 33 C”
- Book Reviews: Data-Intensive Text Processing with MapReduce by Jimmy Lin and Chris Dyer (2010, background): “sors [90], for GPGPUs [49], for the CELL architecture [89], etc.”
- Dandelion: a compiler and runtime for heterogeneous systems (2013, background): “A large number of research efforts have goals similar to those of Dandelion: building scalable heterogeneous systems [46, 36, 80].”
- Designing efficient sorting algorithms for manycore GPUs (2009, background): “Efficient sort routines are also a useful building block in implementing algorithms like sparse matrix multiplication and parallel programming patterns like MapReduce [7], [8].”
- MASK: Redesigning the GPU Memory Hierarchy to Support Multi-Application Concurrency (2018, background): “they provide the highest-available compute density and remain the platform of choice in many domains [1, 11, 28, 31, 45].”