Nirmal Kumar Boran

dblp:193/1917 · DBLP profile ↗
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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
YearPublicationVenuePosition
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
SECRYPT4
2024 HIDC: Heterogeneous-ISA Dynamic Core
abstract
Heterogeneous-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
HPCC1
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
SECRYPT1