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SYNERGY LABS CODE

The Justice Department said clients were charged an initial retainer fee, often between $995 and $1,750, and then a recurring monthly fee, often between $595 and $1,200, but legal services were never provided. “Synergy Law and Themis Law never operated a ‘national law firm,’ and never provided legal services to homeowners,” the prosecutor’s office said in a news release. Business & Finance Click to expand menu.Their work was highlighted in departmental news.Ĭongratulations to Austin Minor and Wu Feng, for getting their paper - Applying the Midas Touch of Reproducibility to High-Performance Computing - accepted for publication at the 2022 IEEE High-Performance Extreme Computing Conference to be virtually held in Waltham, MA on September 19-23, 2022. Their work was highlighted in departmental news.Ĭongratulations to Karim Youssef and Niteya Shah, for getting their papers - Optimizing Performance and Storage of Memory-Mapped Persistent Data Structures and AutoPager: Auto-tuning Memory-Mapped I/O Parameters in Userspace - recognized with Outstanding Student Paper Awards at the 2022 IEEE High-Performance Extereme Computing Conference.

Petersburg, FL on May 15-19, 2023.Ĭongratulations to Wu Feng, in collaboration with Chung-hsing Hsu, for getting their paper - A Power-Aware Run-Time System for High-Performance Computing - recognized with the annual Test of Time Award at the 2022 International Conference for High Performance Computing, Networking, Storage, and Analysis. Qais Al Hajri, Sajal Dash, Wu-chun Feng, Harold R Garner, Ramu Anandakrishnan.Ĭongratulations to Wu Feng, Xuewen Cui and Thomas Scogland, in collaboration with Bronis de Supinski of the Lawrence Livermore National Laboratory, for getting their paper - BLP: Block-Level Data Pipelining for GPUs - accepted for publication at the 20th ACM International Conference on Computing Frontiers to be held in Bologna, Italy, on May 9-11, 2023.Ĭongratulations to Wu Feng and Liam Davis-Wallace, for getting their paper - Parallel Programming with Pictures: Choosing Your Own Adventure - accepted for publication at the NSF/TCPP Workshop on Parallel and Distributed Computing Education, in conjunction with the IEEE Parallel and Distributed Processing Symposium, to be held in St.

Identifying Multi-Hit Carcinogenic Gene Combinations: Scaling Up a Weighted Set Cover Algorithm Using Compressed Binary Matrix Representation on a GPU.

In Proceedings of the 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, Sarunya Pumma, Daniele Buono, Fabio Checconi, Xinyu Que, Wu-chun Feng.

Alleviating Load Imbalance in Data Processing for Large-Scale Deep Learning.

In Proceedings of the 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid),

SparkLeBLAST: Scalable Parallelization of BLAST Sequence Alignment Using Spark.

In Proceedings of the 34th IEEE International Parallel and Distributed Processing Symposium, Gregory Abram, Vignesh Adhinarayanan, Wu-chun Feng, David Rogers, James Ahrens.

ETH: An Architecture for Exploring the Design Space of In-situ Scientific Visualization.

In Joint American Association of Physicists in Medicine | Canadian Organization of Medical Physicists Annual Scientific Meeting, Isaiah Herrera, Prathamesh Mandke, Wu-chun Feng, Guohua Cao.

A Deep-Learning Neural Network Based Reconstruction Algorithm for Sparse-View CT.

In Proceedings of the 30th International Conference on Field-Programmable Logic and Applications,

Exploring FPGA Optimizations in OpenCL for Breadth-First Search on Sparse Graph Datasets.

In Proceedings of the IEEE High Performance Extreme Computing Conference (HPEC), Paul Sathre, Atharva Gondhalekar, Mohamed Hassan, Wu-chun Feng.

SYNERGY LABS CODE

MetaCL: Automated 'Meta' OpenCL Code Generation for High-Level Synthesis on FPGA.IterML: Iterative Machine Learning for Intelligent Parameter Pruning and Tuning in Graphics Processing Units.