OOIR: Observatory of International Research

Papers

(The TQCC of ACM Transactions on Architecture and Code Optimization is 4. 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 2022-06-01 to 2026-06-01.)

Article	Citations
TNT: A Modular Approach to Traversing Physically Heterogeneous NOCs at Bare-wire Latency	52
ASM: An Adaptive Secure Multicore for Co-located Mutually Distrusting Processes	48
An Intelligent Scheduling Approach on Mobile OS for Optimizing UI Smoothness and Power	30
TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework	29
ESMPC: An Efficient Neural Network Training Framework for Secure Two- and Three-Party Computation	28
Accelerating Verifiable Queries over Blockchain Database System Using Processing-in-memory	28
ModNEF : An Open Source Modular Neuromorphic Emulator for FPGA for Low-Power In-Edge Artificial Intelligence	26
Intra-request Lag-aware Cache Management to Enhance I/O Responsiveness of SSDs	26
Highly Efficient Self-checking Matrix Multiplication on Tiled AMX Accelerators	24
Supporting QoS Guarantee in Heterogeneous Object Storage System: A Spatio-Temporal Graph Data Processing Method	24
HierMine: Accelerating Graph Pattern Mining via Hierarchical Sampling	22
Performance, Energy and NVM Lifetime-Aware Data Structure Refinement and Placement for Heterogeneous Memory Systems	22
A Concise Concurrent B ⁺ -Tree for Persistent Memory	18
Tiaozhuan: A General and Efficient Indirect Branch Optimization for Binary Translation	18
Characterizing Digital DRAM PIM through Modeling and Benchmarking	18
DCMA: Accelerating Parallel DMA Transfers with a Multi-Port Direct Cached Memory Access in a Massive-Parallel Vector Processor	17
COER: A Network Interface Offloading Architecture for RDMA and Congestion Control Protocol Codesign	16
Source Matching and Rewriting for MLIR Using String-Based Automata	16
Fast Convolution Meets Low Precision: Exploring Efficient Quantized Winograd Convolution on Modern CPUs	16
MLKAPS: Machine Learning and Adaptive Sampling for HPC Kernel Auto-tuning	15
FlashGEMM: Optimizing Sequences of Matrix Multiplication by Exploiting Data Reuse on CPUs	13
DeepZoning: Re-accelerate CNN Inference with Zoning Graph for Heterogeneous Edge Cluster	12
Mentor: A Memory-Efficient Sparse-dense Matrix Multiplication Accelerator Based on Column-Wise Product	12
iSwap: A New Memory Page Swap Mechanism for Reducing Ineffective I/O Operations in Cloud Environments	12
Osiris: A Systolic Approach to Accelerating Fully Homomorphic Encryption	12

Mitigating the Bandwidth Wall via Data-Streaming System–Accelerator Co-Design	11
A NUMA-Aware Version of an Adaptive Self-Scheduling Loop Scheduler	11
COX : Exposing CUDA Warp-level Functions to CPUs	10
ODGS: Dependency-Aware Scheduling for High-Level Synthesis with Graph Neural Network and Reinforcement Learning	10
AG-SpTRSV: An Automatic Framework to Optimize Sparse Triangular Solve on GPUs	10
Flexible and Effective Object Tiering for Heterogeneous Memory Systems	10
SnsBooster: Enhancing Sampling-based μ Arch Evaluation Efficiency through Online Performance Sensitivity Analysis	10
FDSR: Efficient Model Training via Adaptive Tensor Quantization Based on Frequency Domain Division and Similarity Data Reuse	9
Power Scheduling for Maximizing Throughput and Fairness in Co-running Applications	9
Efficient Cross-platform Multiplexing of Hardware Performance Counters via Adaptive Grouping	9
Advancing Direct Convolution Using Convolution Slicing Optimization and ISA Extensions	9
GraphSER: Distance-Aware Stream-Based Edge Repartition for Many-Core Systems	9
Accelerating Parallel Structures in DNNs via Parallel Fusion and Operator Co-Optimization	9
BridgeGC: An Efficient Cross-Level Garbage Collector for Big Data Frameworks	9
Towards high scalability and fine-grained parallelism on distributed HPC platforms	9
Quantifying Resource Contention of Co-located Workloads with the System-level Entropy	9
Accelerating Nearest Neighbor Search in 3D Point Cloud Registration on GPUs	9
EXPERTISE: An Effective Software-level Redundant Multithreading Scheme against Hardware Faults	9
Sectored DRAM: A Practical Energy-Efficient and High-Performance Fine-Grained DRAM Architecture	8
TPRepair: Tree-based Pipelined Repair in Clustered Storage Systems	8
A Fast and Flexible FPGA-based Accelerator for Natural Language Processing Neural Networks	8
A Step toward Stateful HW-SW Migration: An Architecture-agnostic Checkpointing-rollback Toolchain	8
PowerMorph: QoS-Aware Server Power Reshaping for Data Center Regulation Service	8
HyGain: High-performance, Energy-efficient Hybrid Gain Cell-based Cache Hierarchy	8
CLAP: Cross-Layer Adaptive Pipelining Inference Scheduling for Resource-Efficient Edge-Cloud Vision Systems	8
NEM-GNN: DAC/ADC-less, Scalable, Reconfigurable, Graph and Sparsity-Aware Near-Memory Accelerator for Graph Neural Networks	8
Environmental Condition Aware Super-Resolution Acceleration Framework in Server-Client Hierarchies	8
Towards High Performance QNNs via Distribution-Based CNOT Gate Reduction	8
Optimizing Attention for Large Language Model Inference on the MT-3000 Many-Core Processor	8
WSGraph: A Framework for Tackling Redundant and Irregular Data Access in Streaming Graph Processing	7
Enabling Low-Latency, GPU-Efficient Serverless Inference with Model Swapping	7
CML-PowF: Data Clustering Matching Based Low-overhead Multiple CPU Real-time Power Forecasting	7
Multi-objective Hardware-aware Neural Architecture Search with Pareto Rank-preserving Surrogate Models	7
A Decoupled Analytical Model for Tile Size Selection in Affine Programs	7
RT-GNN: Accelerating Sparse Graph Neural Networks by Tensor-CUDA Kernel Fusion	7
Orchard: Heterogeneous Parallelism and Fine-grained Fusion for Complex Tree Traversals	7
HEngine: A High Performance Optimization Framework on a GPU for Homomorphic Encryption	7
PctoDL: Adaptive GPU Throughput Optimization for Deep Learning Inference with Power Constraints	7
RaNAS: Resource-Aware Neural Architecture Search for Edge Computing	7
DTAP: Accelerating Strongly-Typed Programs with Data Type-Aware Hardware Prefetching	7
Mobile-3DCNN: An Acceleration Framework for Ultra-Real-Time Execution of Large 3D CNNs on Mobile Devices	6
EDAS: Enabling Fast Data Loading for GPU Serverless Computing	6
HiSo: Co-optimizing the Intra-layer and Inter-layer Scheduling Schemes with the Hybrid Data Flow for PIM Architectures	6
Towards Optimizing Learned Index for High Performance, Memory Efficiency and NUMA Awareness	6
SimTrace: Exploiting Spatial and Temporal Sampling for Large-Scale Performance Analysis	6
gECC: A GPU-based high-throughput framework for Elliptic Curve Cryptography	6
Enabling Efficient Vector Processing: A Heterogeneous Vector Architecture with in-SRAM Computing	6
A Memory-Aware Sparse Matrix-Matrix Multiplication on Multicore Architectures	6
A Stable Idle Time Detection Platform for Real I/O Workloads	6
RACER: Avoiding End-to-End Slowdowns in Accelerated Chip Multi-Processors	6

Pac-PIM: A Parallel Communication Framework for Commodity Processing-in-memory Systems	6
MemoriaNova: Optimizing Memory-Aware Model Inference for Edge Computing	6
BLR-Krylov: A Single-GPU Iterative SpMM Framework with Communication Avoidance and Block Low-Rank Optimization	5
Shift-CIM: In-SRAM Alignment To Support General-Purpose Bit-level Sparsity Exploration in SRAM Multiplication	5
Improving Utilization of Dataflow Unit for Multi-Batch Processing	5
Accelerating the Simulation of Parallel Workloads using Loop-Bounded Checkpoints	5
Stripe-schedule Aware Repair in Erasure-coded Clusters with Heterogeneous Star Networks	5
Exploring Data Layout for Sparse Tensor Times Dense Matrix on GPUs	5
Accelerating Convolutional Neural Network by Exploiting Sparsity on GPUs	5
WIPE: A Write-Optimized Learned Index for Persistent Memory	5
OptiFX: Automatic Optimization for Convolutional Neural Networks with Aggressive Operator Fusion on GPUs	5
x Meta : SSD-HDD-hybrid Optimization for Metadata Maintenance of Cloud-scale Object Storage	5
PaTGen: Temporal Similarity-Driven Proxy Benchmark Generation Method for Cloud Workloads	5
FlexHM: A Practical System for Heterogeneous Memory with Flexible and Efficient Performance Optimizations	5
Toward Comprehensive Design Space Exploration on Heterogeneous Multi-core Processors	5
Efficient and Scalable Hybrid Parallelization of Unstructured Computational Fluid Dynamics with Geometric Multigrid	5
JiuJITsu: Removing Gadgets with Safe Register Allocation for JIT Code Generation	5
GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing	5
Lightweight Code Outlining for Android Applications	5
CGCGraph: Efficient CPU-GPU Co-execution for Concurrent Dynamic Graph Processing	5
Performance Prediction of Concurrent DNN Training Tasks in GPU Spatial Sharing Environments	5
BLG-Tuning: Benchmark-Based Low-Cost General-Purpose I/O Modeling and Tuning	4
Efficient Flexible Edge Inference for Mixed-Precision Quantized DNN using Customized RISC-V Core	4
Scale-out Systolic Arrays	4
CoolDC: A Cost-Effective Immersion-Cooled Datacenter with Workload-Aware Temperature Scaling	4
Analytical Modeling of Set-Associative Caches for Optimizing Tensor Operations	4
Consequence-based Clustered Architecture	4
TSN Cache: Exploiting Data Localities in Graph Computing Applications	4
MetaEC: An Efficient and Resilient Erasure-Coded KV Store on Disaggregated Memory	4
Capability-Based Efficient Data Transmission Mechanism for Serverless Computing	4
SplitZNS: Towards an Efficient LSM-Tree on Zoned Namespace SSDs	4
Architecting Optically Controlled Phase Change Memory	4
Iterating Pointers: Enabling Static Analysis for Loop-based Pointers	4
Address/Data Instruction Steering in Clustered General Purpose Processors	4
RaKV: A Write-Optimized LSM Store for Cloud Block Storage with Robust SLA	4
Koala: Efficient Pipeline Training through Automated Schedule Searching on Domain-Specific Language	4
BullsEye : Scalable and Accurate Approximation Framework for Cache Miss Calculation	4
Architectural Support for Sharing, Isolating and Virtualizing FPGA Resources	4
Rethinking Variable-Length Encoding: Exploiting Bit Sparsity for Parallel Decoding in LLM Accelerators	4