OOIR: Observatory of International Research

Papers

(The TQCC of IEEE Computer Architecture Letters is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)

Article	Citations
Old is Gold: Optimizing Single-Threaded Applications With ExGen-Malloc	60
The Architectural Sustainability Indicator	33
Toward Practical 128-Bit General Purpose Microarchitectures	19
Speculative Multi-Level Access in LSM Tree-Based KV Store	19
Characterization and Analysis of Text-to-Image Diffusion Models	17
A Characterization of Generative Recommendation Models: Study of Hierarchical Sequential Transduction Unit	17
Time Series Machine Learning Models for Precise SSD Access Latency Prediction	16
Accelerating Programmable Bootstrapping Targeting Contemporary GPU Microarchitecture	16
SCALES: SCALable and Area-Efficient Systolic Accelerator for Ternary Polynomial Multiplication	16
Context-Aware Set Dueling for Dynamic Policy Arbitration	15
In-Depth Characterization of Machine Learning on an Optimized Multi-Party Computing Library	13
Breaking the HBM Bit Cost Barrier: Domain-Specific ECC for AI Inference Infrastructure	13
MoSKA: Mixture of Shared KV Attention for Efficient Long-Sequence LLM Inference	13
A Quantitative Analysis of Mamba-2-Based Large Language Model: Study of State Space Duality	13
AiDE: Attention-FFN Disaggregated Execution for Cost-Effective LLM Decoding on CXL-PNM	10
SoCurity: A Design Approach for Enhancing SoC Security	10
OASIS: Outlier-Aware KV Cache Clustering for Scaling LLM Inference in CXL Memory Systems	10
Improving Energy-Efficiency of Capsule Networks on Modern GPUs	10
Straw: A Stress-Aware WL-Based Read Reclaim Technique for High-Density NAND Flash-Based SSDs	10
2021 Index IEEE Computer Architecture Letters Vol. 20	10
Exploring the DIMM PIM Architecture for Accelerating Time Series Analysis	9
Exploring KV Cache Quantization in Multimodal Large Language Model Inference	9
A Flexible Embedding-Aware Near Memory Processing Architecture for Recommendation System	9
RouteReplies: Alleviating Long Latency in Many-Chip-Module GPUs	8
StreamDQ: HBM-Integrated On-the-Fly DeQuantization via Memory Load for Large Language Models	7

In-Memory Versioning (IMV)	7
A Case for In-Memory Random Scatter-Gather for Fast Graph Processing	7
REDIT: Redirection-Enabled Memory-Side Directory Architecture for CXL Memory Fabric	7
QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture	6
PUDTune: Multi-Level Charging for High-Precision Calibration in Processing-Using-DRAM	6
Disaggregated Speculative Decoding for Carbon-Efficient LLM Serving	6
Improving Performance on Tiered Memory With Semantic Data Placement	6
Mitigating Timing-Based NoC Side-Channel Attacks With LLC Remapping	6
Exploiting Intel Advanced Matrix Extensions (AMX) for Large Language Model Inference	6
Security Helper Chiplets: A New Paradigm for Secure Hardware Monitoring	6
Thread-Adaptive: High-Throughput Parallel Architectures of SLH-DSA on GPUs	6
Accelerating Deep Reinforcement Learning via Phase-Level Parallelism for Robotics Applications	5
High-Performance Winograd Based Accelerator Architecture for Convolutional Neural Network	5
Memory-Centric MCM-GPU Architecture	5
RAESC: A Reconfigurable AES Countermeasure Architecture for RISC-V With Enhanced Power Side-Channel Resilience	5
NoHammer: Preventing Row Hammer With Last-Level Cache Management	5
Efficient Deadlock Avoidance by Considering Stalling, Message Dependencies, and Topology	5
Managing Prefetchers With Deep Reinforcement Learning	5
pNet-gem5: Full-System Simulation With High-Performance Networking Enabled by Parallel Network Packet Processing	5
DeMM: A Decoupled Matrix Multiplication Engine Supporting Relaxed Structured Sparsity	5
LADIO: Leakage-Aware Direct I/O for I/O-Intensive Workloads	5
Fast Performance Prediction for Efficient Distributed DNN Training	4
Enhancing the Reach and Reliability of Quantum Annealers by Pruning Longer Chains	4
SparseLeakyNets: Classification Prediction Attack Over Sparsity-Aware Embedded Neural Networks Using Timing Side-Channel Information	4
FPGA-Accelerated Data Preprocessing for Personalized Recommendation Systems	4
SSD Offloading for LLM Mixture-of-Experts Weights Considered Harmful in Energy Efficiency	4
Primate: A Framework to Automatically Generate Soft Processors for Network Applications	4
Adaptive Web Browsing on Mobile Heterogeneous Multi-cores	4
ZoneBuffer: An Efficient Buffer Management Scheme for ZNS SSDs	4
PreGNN: Hardware Acceleration to Take Preprocessing Off the Critical Path in Graph Neural Networks	4
A Flexible Hybrid Interconnection Design for High-Performance and Energy-Efficient Chiplet-Based Systems	4
Enabling Cost-Efficient LLM Inference on Mid-Tier GPUs With NMP DIMMs	3
Guard Cache: Creating Noisy Side-Channels	3
Accelerators & Security: The Socket Approach	3
Direct-Coding DNA With Multilevel Parallelism	3
A Quantum Computer Trusted Execution Environment	3
SSE: Security Service Engines to Accelerate Enclave Performance in Secure Multicore Processors	3
Exploring Volatile FPGAs Potential for Accelerating Energy-Harvesting IoT Applications	3
LeakDiT: Diffusion Transformers for Trace-Augmented Side-Channel Analysis	3
SEMS: Scalable Embedding Memory System for Accelerating Embedding-Based DNNs	3
Camulator: A Lightweight and Extensible Trace-Driven Cache Simulator for Embedded Multicore SoCs	3
Understanding the Performance Behaviors of End-to-End Protein Design Pipelines on GPUs	3
T-CAT: Dynamic Cache Allocation for Tiered Memory Systems With Memory Interleaving	3
CABANA : Cluster-Aware Query Batching for Accelerating Billion-Scale ANNS With Intel AMX	3