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Books and Theses
- 2017
[b1]Keval Vora:
Exploiting Asynchrony for Performance and Fault Tolerance in Distributed Graph Processing. University of California, Riverside, USA, 2017
Journal Articles
- 2021
- [j6]Farzin Houshmand, Mohsen Lesani, Keval Vora
:
Grafs: declarative graph analytics. Proc. ACM Program. Lang. 5(ICFP): 1-32 (2021) - [j5]Kasra Jamshidi, Keval Vora:
A Deeper Dive into Pattern-Aware Subgraph Exploration with PEREGRINE. ACM SIGOPS Oper. Syst. Rev. 55(1): 1-10 (2021) - 2019
- [j4]Zachary Benavides, Keval Vora, Rajiv Gupta, Xiangyu Zhang:
Annotation guided collection of context-sensitive parallel execution profiles. Formal Methods Syst. Des. 54(3): 388-415 (2019) - [j3]Zachary Benavides, Keval Vora, Rajiv Gupta:
DProf: distributed profiler with strong guarantees. Proc. ACM Program. Lang. 3(OOPSLA): 156:1-156:24 (2019) - 2018
- [j2]Sai Charan Koduru, Keval Vora, Rajiv Gupta:
Software Speculation on Caching DSMs. Int. J. Parallel Program. 46(2): 313-332 (2018) - 2016
- [j1]Keval Vora, Rajiv Gupta, Guoqing Xu:
Synergistic Analysis of Evolving Graphs. ACM Trans. Archit. Code Optim. 13(4): 32:1-32:27 (2016)
Conference and Workshop Papers
- 2024
- [c22]Joanna Che, Kasra Jamshidi, Keval Vora:
Contigra: Graph Mining with Containment Constraints. EuroSys 2024: 50-65 - [c21]Kasra Jamshidi, Keval Vora:
OsirisBFT: Say No to Task Replication for Scalable Byzantine Fault Tolerant Analytics. PPoPP 2024: 94-108 - 2023
- [c20]Kasra Jamshidi, Harry Xu, Keval Vora:
Accelerating Graph Mining Systems with Subgraph Morphing. EuroSys 2023: 162-181 - 2022
- [c19]Kasra Jamshidi, Mugilan Mariappan, Keval Vora:
Anti-vertex for neighborhood constraints in subgraph queries. GRADES-NDA@SIGMOD 2022: 5:1-5:9 - 2021
- [c18]Mugilan Mariappan, Joanna Che, Keval Vora:
DZiG: sparsity-aware incremental processing of streaming graphs. EuroSys 2021: 83-98 - [c17]John Thorpe, Yifan Qiao, Jonathan Eyolfson, Shen Teng, Guanzhou Hu, Zhihao Jia, Jinliang Wei, Keval Vora, Ravi Netravali, Miryung Kim, Guoqing Harry Xu:
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads. OSDI 2021: 495-514 - [c16]Pourya Vaziri, Keval Vora:
Controlling Memory Footprint of Stateful Streaming Graph Processing. USENIX ATC 2021: 269-283 - 2020
- [c15]Kasra Jamshidi, Rakesh Mahadasa, Keval Vora:
Peregrine: a pattern-aware graph mining system. EuroSys 2020: 13:1-13:16 - 2019
- [c14]Chengshuo Xu, Keval Vora, Rajiv Gupta:
PnP: Pruning and Prediction for Point-To-Point Iterative Graph Analytics. ASPLOS 2019: 587-600 - [c13]Mugilan Mariappan, Keval Vora:
GraphBolt: Dependency-Driven Synchronous Processing of Streaming Graphs. EuroSys 2019: 25:1-25:16 - [c12]Keval Vora:
LUMOS: Dependency-Driven Disk-based Graph Processing. USENIX ATC 2019: 429-442 - 2018
- [c11]Gurneet Kaur, Keval Vora, Sai Charan Koduru, Rajiv Gupta:
OMR: out-of-core MapReduce for large data sets. ISMM 2018: 71-83 - 2017
- [c10]Keval Vora, Chen Tian, Rajiv Gupta, Ziang Hu:
CoRAL: Confined Recovery in Distributed Asynchronous Graph Processing. ASPLOS 2017: 223-236 - [c9]Keval Vora, Rajiv Gupta, Guoqing Xu:
KickStarter: Fast and Accurate Computations on Streaming Graphs via Trimmed Approximations. ASPLOS 2017: 237-251 - [c8]Farzad Khorasani, Keval Vora, Rajiv Gupta, Laxmi N. Bhuyan:
Enabling Work-Efficiency for High Performance Vertex-Centric Graph Analytics on GPUs. IA3@SC 2017: 11:1-11:4 - 2016
- [c7]Amlan Kusum, Keval Vora, Rajiv Gupta, Iulian Neamtiu:
Efficient Processing of Large Graphs via Input Reduction. HPDC 2016: 245-257 - [c6]Keval Vora, Guoqing Xu, Rajiv Gupta:
Load the Edges You Need: A Generic I/O Optimization for Disk-based Graph Processing. USENIX ATC 2016: 507-522 - 2015
- [c5]Sai Charan Koduru, Keval Vora, Rajiv Gupta:
Optimizing Caching DSM for Distributed Software Speculation. CLUSTER 2015: 452-455 - [c4]Wen-Chuan Lee, Tao Bao, Yunhui Zheng, Xiangyu Zhang, Keval Vora, Rajiv Gupta:
RAIVE: runtime assessment of floating-point instability by vectorization. OOPSLA 2015: 623-638 - 2014
- [c3]Farzad Khorasani, Keval Vora, Rajiv Gupta, Laxmi N. Bhuyan:
CuSha: vertex-centric graph processing on GPUs. HPDC 2014: 239-252 - [c2]Sai Charan Koduru, Keval Vora, Rajiv Gupta:
ABC2: Adaptively Balancing Computation and Communication in a DSM Cluster of Multicores for Irregular Applications. IPDPS Workshops 2014: 391-400 - [c1]Keval Vora, Sai Charan Koduru, Rajiv Gupta:
ASPIRE: exploiting asynchronous parallelism in iterative algorithms using a relaxed consistency based DSM. OOPSLA 2014: 861-878
Informal and Other Publications
- 2021
- [i4]John Thorpe, Yifan Qiao, Jonathan Eyolfson, Shen Teng, Guanzhou Hu, Zhihao Jia, Jinliang Wei, Keval Vora, Ravi Netravali, Miryung Kim, Guoqing Harry Xu:
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads. CoRR abs/2105.11118 (2021) - 2020
- [i3]Kasra Jamshidi, Rakesh Mahadasa, Keval Vora:
Peregrine: A Pattern-Aware Graph Mining System. CoRR abs/2004.02369 (2020) - [i2]Farzin Houshmand, Mohsen Lesani, Keval Vora:
GraFS: Graph Analytics Fusion and Synthesis. CoRR abs/2005.13632 (2020) - [i1]Kasra Jamshidi, Keval Vora:
Pattern Morphing for Efficient Graph Mining. CoRR abs/2012.04553 (2020)
Coauthor Index
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last updated on 2024-07-17 21:27 CEST by the dblp team
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