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Adrastea: An Efficient FPGA Design Environment for Heterogeneous Scientific Computing and Machine Learning.

, , , , and . SMC, volume 1690 of Communications in Computer and Information Science, page 227-243. Springer, (2022)

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DRAGON: breaking GPU memory capacity limits with direct NVM access., , , , and . SC, page 32:1-32:13. IEEE / ACM, (2018)GA-GPU: extending a library-based global address spaceprogramming model for scalable heterogeneouscomputing systems., and . Conf. Computing Frontiers, page 53-64. ACM, (2012)Accelerating S3D: A GPGPU Case Study., , , , , and . Euro-Par Workshops, volume 6043 of Lecture Notes in Computer Science, page 122-131. Springer, (2009)Contemporary High Performance Computing - From Petascale toward Exascale.. Chapman and Hall / CRC computational science series CRC Press, (2013)Enabling a Highly-Scalable Global Address Space Model for Petascale Computing, , , and . CF '10: Proceedings of the 7th ACM international conference on Computing frontiers, page 207--216. New York, NY, USA, ACM, (2010)EqualWrites: Reducing Intra-Set Write Variations for Enhancing Lifetime of Non-Volatile Caches., and . IEEE Trans. Very Large Scale Integr. Syst., 24 (1): 103-114 (2016)Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training., , , and . IPDPS, page 188-199. IEEE, (2019)Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training., , , and . CoRR, (2018)A Dynamic Tracing Mechanism for Performance Analysis of OpenMP Applications., , , , and . WOMPAT, volume 2104 of Lecture Notes in Computer Science, page 53-67. Springer, (2001)Performance portability study for massively parallel computational fluid dynamics application on scalable heterogeneous architectures., , , and . J. Parallel Distributed Comput., (2019)