VLDB 2026 Research / reviewers in the wild / expert
Nirmal Kumar Boran
dblp:193/1917
· DBLP profile ↗
6ranked-venue papers
2as first author
6since 2021 · last 2026
0000-0003-3942-7899ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 3 · 1 first-author · 3 since 2021Artificial intelligence and machine learning · 2 · 2 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Query Adaptive Rank Fusion: A Training Free per Query Weighting Scheme for Sparse-Dense Hybrid Retrieval
Mohammad Saad Rafeeq, Chandramani Chaudhary, Nirmal Kumar Boran, Ashok Kumar Suhag |
DATA (1) | 3 |
| 2026 | SPARTON: Secure Dynamic Partition Scheme for Last-Level Cache
Tejeshwar Bhagatsing Thorawade, Rishab Ravi, Varun Venkitaraman, Keerthisagar Kokkiligadda, Nirmal Kumar Boran, Virendra Singh |
SECRYPT (1) | 5 |
| 2025 | SCAM: Secure Shared Cache Partitioning Scheme to Enhance Throughput of CMPs
Varun Venkitaraman, Rishab Ravi, Tejeshwar Bhagatsing Thorawade, Nirmal Kumar Boran, Virendra Singh |
SECRYPT | 4 |
| 2024 | HIDC: Heterogeneous-ISA Dynamic CoreabstractHeterogeneous-ISA architectures are emerging as an alternative for better performance and energy efficiency. These systems exploit ISA affinity within and across programs by executing them dynamically on the most suited ISA core. However, heterogeneous-ISA chip multiprocessor incurs significant power and area overheads compared to single-ISA systems. Also, due to switching overhead between different ISA cores, the migration opportunities are constrained to coarse-grained program phases (order of 100M instructions), limiting the potential of harnessing ISA diversity. We propose Heterogeneous-ISA Dynamic Core (HIDC), an architecture which reduces the migration overhead by supporting different ISAs within a single core and an improved migration strategy called Simultaneous Transformation. HIDC improves single-threaded performance and energy efficiency by exploiting ISA diversity at a finer granularity and reducing power consumption compared to heterogeneous-ISA CMP. To optimally schedule program phases as per their ISA affinity, we present a low-overhead perceptron-based scheduling mechanism along with its implementation in hardware. Overall, HIDC improves by 52.89% and 33.93% in performance per joule metric over heterogeneous-ISA CMP and single x86 ISA core, respectively. It achieves 4.62% and 19.06% performance improvement relative to heterogeneous-ISA CMP and single x86 ISA core. Also, it leads to ∼20× reduction in cross-ISA migration latency. Nirmal Kumar Boran, Prakhar Diwan, Meet Udeshi, Shubhankit Rathore, Virendra Singh |
HPCC | 1 |
| 2024 | GNNDLD: Graph Neural Network with Directional Label Distribution
Chandramani Chaudhary, Nirmal Kumar Boran, N. Sangeeth, Virendra Singh |
ICAART (2) | 2 |
| 2022 | PASS-P: Performance and Security Sensitive Dynamic Cache Partitioning
Nirmal Kumar Boran, Pranil Joshi, Virendra Singh |
SECRYPT | 1 |