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Vikram S. Adve

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affiliation: University of Illinois at Urbana-Champaign, USA
award (2012): ACM Software System Award

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Journal Articles

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2025
[j22]
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Garvita Allabadi, Ana Lucic, Yu-Xiong Wang, Vikram S. Adve:
Learning to Detect Novel Species with SAM in the Wild. Int. J. Comput. Vis. 133(5): 2247-2258 (2025)
2024
[j21]
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Vikram S. Adve, Jessica M. Wedow, Elizabeth A. Ainsworth, Girish Chowdhary, Angela Green-Miller, Christina Tucker:
AIFARMS: Artificial intelligence for future agricultural resilience, management, and sustainability. AI Mag. 45(1): 83-88 (2024)
2023
[j20]
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Georgios Zacharopoulos, Adel Ejjeh, Ying Jing, En-Yu Yang, Tianyu Jia, Iulian Brumar, Jeremy Intan, Muhammad Huzaifa, Sarita V. Adve, Vikram S. Adve, Gu-Yeon Wei, David Brooks:
Trireme: Exploration of Hierarchical Multi-level Parallelism for Hardware Acceleration. ACM Trans. Embed. Comput. Syst. 22(3): 53:1-53:23 (2023)
2022
[j19]
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Adel Ejjeh, Aaron Councilman, Akash Kothari, Maria Kotsifakou, Leon Medvinsky, Abdul Rafae Noor, Hashim Sharif, Yifan Zhao, Sarita V. Adve, Sasa Misailovic, Vikram S. Adve:
HPVM: Hardware-Agnostic Programming for Heterogeneous Parallel Systems. IEEE Micro 42(5): 108-117 (2022)
2020
[j18]
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Sean Bartell, Will Dietz, Vikram S. Adve:
Guided linking: dynamic linking without the costs. Proc. ACM Program. Lang. 4(OOPSLA): 145:1-145:29 (2020)
2019
[j17]
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Alexandros Tzannes, Stephen T. Heumann, Lamyaa Eloussi, Mohsen Vakilian, Vikram S. Adve, Michael Han:
Region and effect inference for safe parallelism. Autom. Softw. Eng. 26(2): 463-509 (2019)
[j16]
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Mingu Kang, Prakalp Srivastava, Vikram S. Adve, Nam Sung Kim, Naresh R. Shanbhag:
An Energy-Efficient Programmable Mixed-Signal Accelerator for Machine Learning Algorithms. IEEE Micro 39(5): 64-72 (2019)
[j15]
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Hashim Sharif, Prakalp Srivastava, Muhammad Huzaifa, Maria Kotsifakou, Keyur Joshi, Yasmin Sarita, Nathan Zhao, Vikram S. Adve, Sasa Misailovic, Sarita V. Adve:
ApproxHPVM: a portable compiler IR for accuracy-aware optimizations. Proc. ACM Program. Lang. 3(OOPSLA): 186:1-186:30 (2019)
2018
[j14]
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Will Dietz, Vikram S. Adve:
Software multiplexing: share your libraries and statically link them too. Proc. ACM Program. Lang. 2(OOPSLA): 154:1-154:26 (2018)
2015
[j13]
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Will Dietz, Peng Li, John Regehr, Vikram S. Adve:
Understanding Integer Overflow in C/C++. ACM Trans. Softw. Eng. Methodol. 25(1): 2:1-2:29 (2015)
2005
[j12]
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Dinakar Dhurjati, Sumant Kowshik, Vikram S. Adve, Chris Lattner:
Memory safety without garbage collection for embedded applications. ACM Trans. Embed. Comput. Syst. 4(1): 73-111 (2005)
2004
[j11]
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Qing Yi, Ken Kennedy, Vikram S. Adve:
Transforming Complex Loop Nests for Locality. J. Supercomput. 27(3): 219-264 (2004)
[j10]
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Vikram S. Adve, Mary K. Vernon:
Parallel program performance prediction using deterministic task graph analysis. ACM Trans. Comput. Syst. 22(1): 94-136 (2004)
2003
[j9]
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Brian Ensink, Joel Stanley, Vikram S. Adve:
Program Control Language: a programming language for adaptive distributed applications. J. Parallel Distributed Comput. 63(11): 1082-1104 (2003)
2002
[j8]
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John M. Mellor-Crummey, Vikram S. Adve, Bradley Broom, Daniel G. Chavarría-Miranda, Robert J. Fowler, Guohua Jin, Ken Kennedy, Qing Yi:
Advanced optimization strategies in the Rice dHPF compiler. Concurr. Comput. Pract. Exp. 14(8-9): 741-767 (2002)
[j7]
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Vikram S. Adve, Rajive L. Bagrodia, Ewa Deelman, Rizos Sakellariou:
Compiler-Optimized Simulation of Large-Scale Applications on High Performance Architectures. J. Parallel Distributed Comput. 62(3): 393-426 (2002)
2000
[j6]
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Vikram S. Adve, Rizos Sakellariou:
Application Representations for Multiparadigm Performance Modeling of Large-Scale Parallel Scientific Codes. Int. J. High Perform. Comput. Appl. 14(4): 304-316 (2000)
[j5]
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Vikram S. Adve, Rajive L. Bagrodia, James C. Browne, Ewa Deelman, Aditya Dube, Elias N. Houstis, John R. Rice, Rizos Sakellariou, David Sundaram-Stukel, Patricia J. Teller, Mary K. Vernon:
POEMS: End-to-End Performance Design of Large Parallel Adaptive Computational Systems. IEEE Trans. Software Eng. 26(11): 1027-1048 (2000)
1998
[j4]
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John M. Mellor-Crummey, Vikram S. Adve:
Simplifying Control Flow in Compiler-Generated Parallel Code. Int. J. Parallel Program. 26(5): 613-638 (1998)
1994
[j3]
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Vikram S. Adve, Alan Carle, Elana D. Granston, Seema Hiranandani, Ken Kennedy, Charles Koelbel, Ulrich Kremer, John M. Mellor-Crummey, Scott K. Warren, Chau-Wen Tseng:
Requirements for DataParallel Programming Environments. IEEE Parallel Distributed Technol. Syst. Appl. 2(3): 48-58 (1994)
[j2]
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Vikram S. Adve, Randolph Nelson:
The Relationship Between Bernoulli and Fixed Feedback Policies for the M/G/1 Queue. Oper. Res. 42(2): 380-385 (1994)
[j1]
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Vikram S. Adve, Mary K. Vernon:
Performance Analysis of Mesh Interconnection Networks with Deterministic Routing. IEEE Trans. Parallel Distributed Syst. 5(3): 225-246 (1994)

Conference and Workshop Papers

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2025
[c77]
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Russel Arbore, Xavier Routh, Abdul Rafae Noor, Akash Kothari, Haichao Yang, Weihong Xu, Sumukh Pinge, Minxuan Zhou, Tajana Rosing, Vikram S. Adve:
HPVM-HDC: A Heterogeneous Programming System for Accelerating Hyperdimensional Computing. ISCA 2025: 1342-1355
2024
[c76]
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Yifan Zhao, Hashim Sharif, Vikram S. Adve, Sasa Misailovic:
Felix: Optimizing Tensor Programs with Gradient Descent. ASPLOS (3) 2024: 367-381
[c75]
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Akash Kothari, Abdul Rafae Noor, Muchen Xu, Hassam Uddin, Dhruv Baronia, Stefanos Baziotis, Vikram S. Adve, Charith Mendis, Sudipta Sengupta:
Hydride: A Retargetable and Extensible Synthesis-based Compiler for Modern Hardware Architectures. ASPLOS (2) 2024: 514-529
[c74]
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Benjamin Darnell, Hetarth Chopra, Aaron Councilman, David Grove, Yu-Xiong Wang, Vikram S. Adve:
An Empirical Comparison of Code Generation Approaches for Ansible. InteNSE 2024: 1-6
2023
[c73]
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Yifan Zhao, Hashim Sharif, Peter Pao-Huang, Vatsin Shah, Arun Narenthiran Sivakumar, Mateus Valverde Gasparino, Abdulrahman Mahmoud, Nathan Zhao, Sarita V. Adve, Girish Chowdhary, Sasa Misailovic, Vikram S. Adve:
ApproxCaliper: A Programmable Framework for Application-aware Neural Network Optimization. MLSys 2023
2022
[c72]
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Adel Ejjeh, Leon Medvinsky, Aaron Councilman, Hemang Nehra, Suraj Sharma, Vikram S. Adve, Luigi Nardi, Eriko Nurvitadhi, Rob A. Rutenbar:
HPVM2FPGA: Enabling True Hardware-Agnostic FPGA Programming. ASAP 2022: 1-10
2021
[c71]
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Theodoros Kasampalis, Daejun Park, Zhengyao Lin, Vikram S. Adve, Grigore Rosu:
Language-parametric compiler validation with application to LLVM. ASPLOS 2021: 1004-1019
[c70]
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Hashim Sharif, Yifan Zhao, Maria Kotsifakou, Akash Kothari, Ben Schreiber, Elizabeth Wang, Yasmin Sarita, Nathan Zhao, Keyur Joshi, Vikram S. Adve, Sasa Misailovic, Sarita V. Adve:
ApproxTuner: a compiler and runtime system for adaptive approximations. PPoPP 2021: 262-277
2020
[c69]
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Adel Ejjeh, Vikram S. Adve, Rob A. Rutenbar:
Studying the Potential of Automatic Optimizations in the Intel FPGA SDK for OpenCL. FPGA 2020: 318
[c68]
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Sandeep Dasgupta, Sushant Dinesh, Deepan Venkatesh, Vikram S. Adve, Christopher W. Fletcher:
Scalable validation of binary lifters. PLDI 2020: 655-671
[c67]
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Vikram S. Adve:
Why digital agriculture is fertile ground for software systems research (keynote). SPLASH (Companion) 2020: 3
2019
[c66]
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Bogdan Alexandru Stoica, Swarup Kumar Sahoo, James R. Larus, Vikram S. Adve:
Wok: statistical program slicing in production. ICSE (Companion Volume) 2019: 324-325
[c65]
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Sandeep Dasgupta, Daejun Park, Theodoros Kasampalis, Vikram S. Adve, Grigore Rosu:
A complete formal semantics of x86-64 user-level instruction set architecture. PLDI 2019: 1133-1148
2018
[c64]
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Richard Wei, Lane Schwartz, Vikram S. Adve:
DLVM: A modern compiler infrastructure for deep learning systems. ICLR (Workshop) 2018
[c63]
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Prakalp Srivastava, Mingu Kang, Sujan K. Gonugondla, Sungmin Lim, Jungwook Choi, Vikram S. Adve, Nam Sung Kim, Naresh R. Shanbhag:
PROMISE: An End-to-End Design of a Programmable Mixed-Signal Accelerator for Machine-Learning Algorithms. ISCA 2018: 43-56
[c62]
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Maria Kotsifakou, Prakalp Srivastava, Matthew D. Sinclair, Rakesh Komuravelli, Vikram S. Adve, Sarita V. Adve:
HPVM: heterogeneous parallel virtual machine. PPoPP 2018: 68-80
2016
[c61]
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Prakalp Srivastava, Maria Kotsifakou, Matthew D. Sinclair, Rakesh Komuravelli, Vikram S. Adve, Sarita V. Adve:
POSTER: hVISC: A Portable Abstraction for Heterogeneous Parallel Systems. PACT 2016: 443-445
2015
[c60]
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Stephen T. Heumann, Alexandros Tzannes, Vikram S. Adve:
Scalable Task Scheduling and Synchronization Using Hierarchical Effects. PACT 2015: 125-137
[c59]
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Nathan Dautenhahn, Theodoros Kasampalis, Will Dietz, John Criswell, Vikram S. Adve:
Nested Kernel: An Operating System Architecture for Intra-Kernel Privilege Separation. ASPLOS 2015: 191-206
[c58]
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Rakesh Komuravelli, Matthew D. Sinclair, Johnathan Alsop, Muhammad Huzaifa, Maria Kotsifakou, Prakalp Srivastava, Sarita V. Adve, Vikram S. Adve:
Stash: have your scratchpad and cache it too. ISCA 2015: 707-719
[c57]
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Alexandros Tzannes, Stephen T. Heumann, Lamyaa Eloussi, Mohsen Vakilian, Vikram S. Adve, Michael Han:
Region and Effect Inference for Safe Parallelism (T). ASE 2015: 512-523
[c56]
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Will Dietz, Joshua Cranmer, Nathan Dautenhahn, Vikram S. Adve:
Slipstream: Automatic Interprocess Communication Optimization. USENIX ATC 2015: 431-443
2014
[c55]
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John Criswell, Nathan Dautenhahn, Vikram S. Adve:
Virtual ghost: protecting applications from hostile operating systems. ASPLOS 2014: 81-96
[c54]
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John Criswell, Nathan Dautenhahn, Vikram S. Adve:
KCoFI: Complete Control-Flow Integrity for Commodity Operating System Kernels. IEEE Symposium on Security and Privacy 2014: 292-307
2013
[c53]
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Swarup Kumar Sahoo, John Criswell, Chase Geigle, Vikram S. Adve:
Using likely invariants for automated software fault localization. ASPLOS 2013: 139-152
[c52]
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Stephen Heumann, Vikram S. Adve, Shengjie Wang:
The tasks with effects model for safe concurrency. PPoPP 2013: 239-250
2012
[c51]
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Ryan M. Lefever, Vikram S. Adve, William H. Sanders:
A Mirrored Data Structures Approach to Diverse Partial Memory Replication. EDCC 2012: 61-72
[c50]
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Stephen Heumann, Vikram S. Adve:
Disciplined Concurrent Programming Using Tasks with Effects. HotPar 2012
[c49]
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Will Dietz, Peng Li, John Regehr, Vikram S. Adve:
Understanding integer overflow in C/C++. ICSE 2012: 760-770
2011
[c48]
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Byn Choi, Rakesh Komuravelli, Hyojin Sung, Robert Smolinski, Nima Honarmand, Sarita V. Adve, Vikram S. Adve, Nicholas P. Carter, Ching-Tsun Chou:
DeNovo: Rethinking the Memory Hierarchy for Disciplined Parallelism. PACT 2011: 155-166
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Robert L. Bocchino Jr., Vikram S. Adve:
Types, Regions, and Effects for Safe Programming with Object-Oriented Parallel Frameworks. ECOOP 2011: 306-332
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Robert L. Bocchino Jr., Stephen Heumann, Nima Honarmand, Sarita V. Adve, Vikram S. Adve, Adam Welc, Tatiana Shpeisman:
Safe nondeterminism in a deterministic-by-default parallel language. POPL 2011: 535-548
2010
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Ryan M. Lefever, Vikram S. Adve, William H. Sanders:
Diverse Partial Memory Replication. DSN 2010: 71-80
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Swarup Kumar Sahoo, John Criswell, Vikram S. Adve:
An empirical study of reported bugs in server software with implications for automated bug diagnosis. ICSE (1) 2010: 485-494
2009
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Andrew Lenharth, Vikram S. Adve, Samuel T. King:
Recovery domains: an organizing principle for recoverable operating systems. ASPLOS 2009: 49-60
[c42]
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Mohsen Vakilian, Danny Dig, Robert L. Bocchino Jr., Jeffrey Overbey, Vikram S. Adve, Ralph E. Johnson:
Inferring Method Effect Summaries for Nested Heap Regions. ASE 2009: 421-432
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Robert L. Bocchino Jr., Vikram S. Adve, Danny Dig, Sarita V. Adve, Stephen Heumann, Rakesh Komuravelli, Jeffrey Overbey, Patrick Simmons, Hyojin Sung, Mohsen Vakilian:
A type and effect system for deterministic parallel Java. OOPSLA 2009: 97-116
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John Criswell, Nicolas Geoffray, Vikram S. Adve:
Memory Safety for Low-Level Software/Hardware Interactions. USENIX Security Symposium 2009: 83-100
2008
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Man-Lap Li, Pradeep Ramachandran, Swarup Kumar Sahoo, Sarita V. Adve, Vikram S. Adve, Yuanyuan Zhou:
Understanding the propagation of hard errors to software and implications for resilient system design. ASPLOS 2008: 265-276
[c38]
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Man-Lap Li, Pradeep Ramachandran, Swarup Kumar Sahoo, Sarita V. Adve, Vikram S. Adve, Yuanyuan Zhou:
Trace-based microarchitecture-level diagnosis of permanent hardware faults. DSN 2008: 22-31
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Swarup Kumar Sahoo, Man-Lap Li, Pradeep Ramachandran, Sarita V. Adve, Vikram S. Adve, Yuanyuan Zhou:
Using likely program invariants to detect hardware errors. DSN 2008: 70-79
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Robert L. Bocchino Jr., Vikram S. Adve, Bradford L. Chamberlain:
Software transactional memory for large scale clusters. PPoPP 2008: 247-258
2007
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Chris Lattner, Andrew Lenharth, Vikram S. Adve:
Making context-sensitive points-to analysis with heap cloning practical for the real world. PLDI 2007: 278-289
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John Criswell, Andrew Lenharth, Dinakar Dhurjati, Vikram S. Adve:
Secure virtual architecture: a safe execution environment for commodity operating systems. SOSP 2007: 351-366
2006
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Dinakar Dhurjati, Vikram S. Adve:
Efficiently Detecting All Dangling Pointer Uses in Production Servers. DSN 2006: 269-280
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Dinakar Dhurjati, Vikram S. Adve:
Backwards-compatible array bounds checking for C with very low overhead. ICSE 2006: 162-171
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Dinakar Dhurjati, Sumant Kowshik, Vikram S. Adve:
SAFECode: enforcing alias analysis for weakly typed languages. PLDI 2006: 144-157
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Robert L. Bocchino Jr., Vikram S. Adve:
Vector LLVA: a virtual vector instruction set for media processing. VEE 2006: 46-56
2005
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Chris Lattner, Vikram S. Adve:
Transparent pointer compression for linked data structures. Memory System Performance 2005: 24-35
[c28]
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Vikram S. Adve, Adnan Agbaria, Matti A. Hiltunen, Ravishankar K. Iyer, Kaustubh R. Joshi, Zbigniew Kalbarczyk, Ryan M. Lefever, Raymond Plante, William H. Sanders, Richard D. Schlichting:
A Compiler-Enabled Model- and Measurement-Driven Adaptation Environment for Dependability and Performance. IPDPS 2005
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Chris Lattner, Vikram S. Adve:
Automatic pool allocation: improving performance by controlling data structure layout in the heap. PLDI 2005: 129-142
2004
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Chris Lattner, Vikram S. Adve:
LLVM: A Compilation Framework for Lifelong Program Analysis & Transformation. CGO 2004: 75-88
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Brian Ensink, Vikram S. Adve:
Coordinating Adaptations in Distributed Systems. ICDCS 2004: 446-455
[c24]
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Vikram S. Adve, Michael Brukman, Alkis Evlogimenos, Brian Gaeke:
Software Implications of Virtual Instruction Set Computers. IPDPS Next Generation Software Program - NSFNGS - PI Workshop 2004
[c23]
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Chris Lattner, Vikram S. Adve:
The LLVM Compiler Framework and Infrastructure Tutorial. LCPC 2004: 15-16
2003
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Vikram S. Adve, James C. Browne, Brian Ensink, John R. Rice, Patricia J. Teller, Mary K. Vernon, Stephen J. Wright:
An Approach to Optimizing Adaptive Parabolic PDE Solvers for the Grid. IPDPS 2003: 210
[c21]
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Dinakar Dhurjati, Sumant Kowshik, Vikram S. Adve, Chris Lattner:
Memory safety without runtime checks or garbage collection. LCTES 2003: 69-80
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Vikram S. Adve, Chris Lattner, Michael Brukman, Anand Shukla, Brian Gaeke:
LLVA: A Low-level Virtual Instruction Set Architecture. MICRO 2003: 205-216
2002
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Sumant Kowshik, Dinakar Dhurjati, Vikram S. Adve:
Ensuring code safety without runtime checks for real-time control systems. CASES 2002: 288-297
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Vikram S. Adve, Afolami Akinsanmi, James C. Browne, Det Buaklee, Guoshen Deng, Vinh Vi Lam, Trevor Morgan, John R. Rice, Gregory J. Rodin, Patricia J. Teller, Gregory F. Tracy, Mary K. Vernon, Stephen J. Wright:
Model-Based Control of Adaptive Applications: An Overview. IPDPS 2002
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Chris Lattner, Shashank Shekhar, Anand Shukla, Vikram S. Adve:
Addressing Fundamental Bottlenecks in Link-Time and Dynamic Optimization. IPDPS 2002
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Chris Lattner, Vikram S. Adve:
Automatic pool allocation for disjoint data structures. MSP/ISMM 2002: 13-24
2001
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Vikram S. Adve, John M. Mellor-Crummey:
Advanced Code Generation for High Performance Fortran. Compiler Optimizations for Scalable Parallel Systems Languages 2001: 553-596
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Vikram S. Adve, Vinh Vi Lam, Brian Ensink:
Language and Compiler Support for Adaptive Distributed Applications. LCTES/OM 2001: 238-246
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Ewa Deelman, Rajive L. Bagrodia, Rizos Sakellariou, Vikram S. Adve:
Improving lookahead in parallel discrete event simulations of large-scale applications using compiler analysis. Workshop on Parallel and Distributed Simulation 2001: 5-13
[c12]
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Vikram S. Adve, Vinh Vi Lam, Brian Ensink:
Language and Compiler Support for Adaptive Distributed Applications. OM@PLDI 2001: 238-246
2000
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Vikram S. Adve, Rizos Sakellariou:
Compiler Synthesis of Task Graphs for Parallel Program Performance Prediction. LCPC 2000: 208-226
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Qing Yi, Vikram S. Adve, Ken Kennedy:
Transforming loops to recursion for multi-level memory hierarchies. PLDI 2000: 169-181
1999
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Vikram S. Adve, Rajive L. Bagrodia, Ewa Deelman, Thomas Phan, Rizos Sakellariou:
Compiler-Supported Simulation of Highly Scalable Parallel Applications. SC 1999: 1
1998
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Vikram S. Adve, John M. Mellor-Crummey:
Using Integer Sets for Data-Parallel Program Analysis and Optimization. PLDI 1998: 186-198
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Vikram S. Adve, Guohua Jin, John M. Mellor-Crummey, Qing Yi:
High Performance Fortran Compilation Techniques for Parallelizing Scientific Codes. SC 1998: 11
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Ewa Deelman, Aditya Dube, Adolfy Hoisie, Yong Luo, Richard L. Oliver, David Sundaram-Stukel, Harvey J. Wasserman, Vikram S. Adve, Rajive L. Bagrodia, James C. Browne, Elias N. Houstis, Olaf M. Lubeck, John R. Rice, Patricia J. Teller, Mary K. Vernon:
Poems: end-to-end performance design of large parallel adaptive computational systems. WOSP 1998: 18-30
1997
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Hazim Abdel-Shafi, Jonathan Hall, Sarita V. Adve, Vikram S. Adve:
An Evaluation of Fine-Grain Producer-Initiated Communication in Cache-Coherent Multiprocessors. HPCA 1997: 204-215
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John M. Mellor-Crummey, Vikram S. Adve:
Simplifying Control Flow in Compiler-Generated Parallel Code. LCPC 1997: 235-239
1995
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Vikram S. Adve, John M. Mellor-Crummey, Mark Anderson, Ken Kennedy, Jhy-Chun Wang, Daniel A. Reed:
An Integrated Compilation and Performance Analysis Environment for Data Parallel Programs. SC 1995: 50
1993
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Vikram S. Adve, Mary K. Vernon:
The Influence of Random Delays on Parallel Execution Times. SIGMETRICS 1993: 61-73
1991
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Sarita V. Adve, Vikram S. Adve, Mark D. Hill, Mary K. Vernon:
Comparison of Hardware and Software Cache Coherence Schemes. ISCA 1991: 298-308

Editorship

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2010
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James C. Hoe, Vikram S. Adve:
Proceedings of the 15th International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2010, Pittsburgh, Pennsylvania, USA, March 13-17, 2010. ACM 2010, ISBN 978-1-60558-839-1 [contents]
2008
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Vikram S. Adve, María Jesús Garzarán, Paul Petersen:
Languages and Compilers for Parallel Computing, 20th International Workshop, LCPC 2007, Urbana, IL, USA, October 11-13, 2007, Revised Selected Papers. Lecture Notes in Computer Science 5234, Springer 2008, ISBN 978-3-540-85260-5 [contents]
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David Gregg, Vikram S. Adve, Brian N. Bershad:
Proceedings of the 4th International Conference on Virtual Execution Environments, VEE 2008, Seattle, WA, USA, March 5-7, 2008. ACM 2008, ISBN 978-1-59593-796-4 [contents]

Informal and Other Publications

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2025
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Hetarth Chopra, Vidhi Rambhia, Vikram S. Adve:
LEWIS (LayEr WIse Sparsity) - A Training Free Guided Model Merging Approach. CoRR abs/2503.03874 (2025)
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Russel Arbore, Aaron Councilman, Xavier Routh, Ryan Ziegler, Praneet Rathi, Vikram S. Adve:
Hercules: A Compiler for Productive Programming of Heterogeneous Systems. CoRR abs/2503.10855 (2025)
[i10]
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Aruna Gauba, Irene Pi, Yunze Man, Ziqi Pang, Vikram S. Adve, Yu-Xiong Wang:
AgMMU: A Comprehensive Agricultural Multimodal Understanding and Reasoning Benchmark. CoRR abs/2504.10568 (2025)
2024
[i9]
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Russel Arbore, Xavier Routh, Abdul Rafae Noor, Akash Kothari, Haichao Yang, Weihong Xu, Sumukh Pinge, Minxuan Zhou, Vikram S. Adve, Tajana Rosing:
HPVM-HDC: A Heterogeneous Programming System for Hyperdimensional Computing. CoRR abs/2410.15179 (2024)
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Deming Chen, Alaa Youssef, Ruchi Pendse, André Schleife, Bryan K. Clark, Hendrik F. Hamann, Jingrui He, Teodoro Laino, Lav R. Varshney, Yuxiong Wang, Avirup Sil, Reyhaneh Jabbarvand, Tianyin Xu, Volodymyr V. Kindratenko, Carlos H. A. Costa, Sarita V. Adve, Charith Mendis, Minjia Zhang, Santiago Núñez-Corrales, Raghu K. Ganti, Mudhakar Srivatsa, Nam Sung Kim, Josep Torrellas, Jian Huang, Seetharami R. Seelam, Klara Nahrstedt, Tarek F. Abdelzaher, Tamar Eilam, Huimin Zhao, Matteo Manica, Ravishankar K. Iyer, Martin Hirzel, Vikram S. Adve, Darko Marinov, Hubertus Franke, Hanghang Tong, Elizabeth A. Ainsworth, Han Zhao, Deepak Vasisht, Minh Do, Fábio Oliveira, Giovanni Pacifici, Ruchir Puri, Priya Nagpurkar:
Transforming the Hybrid Cloud for Emerging AI Workloads. CoRR abs/2411.13239 (2024)
2023
[i7]
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  - journals/corr/abs-2307-15710
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Garvita Allabadi, Ana Lucic, Peter Pao-Huang, Yu-Xiong Wang, Vikram S. Adve:
Semi-Supervised Object Detection in the Open World. CoRR abs/2307.15710 (2023)
2022
[i6]
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  - journals/corr/abs-2201-03558
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Adel Ejjeh, Vikram S. Adve, Rob A. Rutenbar:
Studying the Potential of Automatic Optimizations in the Intel FPGA SDK for OpenCL. CoRR abs/2201.03558 (2022)
[i5]
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  - journals/corr/abs-2201-08603
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Georgios Zacharopoulos, Adel Ejjeh, Ying Jing, En-Yu Yang, Tianyu Jia, Iulian Brumar, Jeremy Intan, Muhammad Huzaifa, Sarita V. Adve, Vikram S. Adve, Gu-Yeon Wei, David Brooks:
Trireme: Exploring Hierarchical Multi-Level Parallelism for Domain Specific Hardware Acceleration. CoRR abs/2201.08603 (2022)
[i4]
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  - journals/corr/abs-2210-08974
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Klara Nahrstedt, Naresh R. Shanbhag, Vikram S. Adve, Nancy M. Amato, Romit Roy Choudhury, Carl A. Gunter, Nam Sung Kim, Olgica Milenkovic, Sayan Mitra, Lav R. Varshney, Yurii Vlasov, Sarita V. Adve, Rashid Bashir, Andreas Cangellaris, James DiCarlo, Katie Driggs-Campbell, Nick Feamster, Mattia Gazzola, Karrie Karahalios, Sanmi Koyejo, Paul G. Kwiat, Bo Li, Negar Mehr, Ravish Mehra, Andrew Miller, Daniela Rus, Alexander G. Schwing, Anshumali Shrivastava:
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing. CoRR abs/2210.08974 (2022)
2021
[i3]
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Bogdan Alexandru Stoica, Swarup Kumar Sahoo, James R. Larus, Vikram S. Adve:
Statistical Program Slicing: a Hybrid Slicing Technique for Analyzing Deployed Software. CoRR abs/2201.00060 (2021)
2017
[i2]
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  - journals/corr/abs-1711-03016
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Richard Wei, Vikram S. Adve, Lane Schwartz:
DLVM: A modern compiler infrastructure for deep learning systems. CoRR abs/1711.03016 (2017)
2016
[i1]
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  - journals/corr/SrivastavaKA16
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Prakalp Srivastava, Maria Kotsifakou, Vikram S. Adve:
HPVM: A Portable Virtual Instruction Set for Heterogeneous Parallel Systems. CoRR abs/1611.00860 (2016)

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