OOIR: Observatory of International Research

Papers

(The TQCC of ACM Transactions on Architecture and Code Optimization 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 2021-06-01 to 2025-06-01.)

Article	Citations
Object Intersection Captures on Interactive Apps to Drive a Crowd-sourced Replay-based Compiler Optimization	37
Spiking Neural Networks in Spintronic Computational RAM	32
TNT: A Modular Approach to Traversing Physically Heterogeneous NOCs at Bare-wire Latency	32
ASM: An Adaptive Secure Multicore for Co-located Mutually Distrusting Processes	32
TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework	29
An Intelligent Scheduling Approach on Mobile OS for Optimizing UI Smoothness and Power	25
Highly Efficient Self-checking Matrix Multiplication on Tiled AMX Accelerators	23
An Accelerator for Sparse Convolutional Neural Networks Leveraging Systolic General Matrix-matrix Multiplication	18
Performance, Energy and NVM Lifetime-Aware Data Structure Refinement and Placement for Heterogeneous Memory Systems	18
DCMA: Accelerating Parallel DMA Transfers with a Multi-Port Direct Cached Memory Access in a Massive-Parallel Vector Processor	18
ModNEF : An Open Source Modular Neuromorphic Emulator for FPGA for Low-Power In-Edge Artificial Intelligence	18
SIMD-Matcher: A SIMD-based Arbitrary Matching Framework	17
A Concise Concurrent B ⁺ -Tree for Persistent Memory	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
Tiaozhuan: A General and Efficient Indirect Branch Optimization for Binary Translation	15
Building a Fast and Efficient LSM-tree Store by Integrating Local Storage with Cloud Storage	14
Locality-Aware CTA Scheduling for Gaming Applications	13
Fast Convolution Meets Low Precision: Exploring Efficient Quantized Winograd Convolution on Modern CPUs	13
Accelerating Video Captioning on Heterogeneous System Architectures	12
A NUMA-Aware Version of an Adaptive Self-Scheduling Loop Scheduler	12
DeepZoning: Re-accelerate CNN Inference with Zoning Graph for Heterogeneous Edge Cluster	12
Quantifying Resource Contention of Co-located Workloads with the System-level Entropy	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

Domain-Specific Multi-Level IR Rewriting for GPU	12
AG-SpTRSV: An Automatic Framework to Optimize Sparse Triangular Solve on GPUs	10
COX : Exposing CUDA Warp-level Functions to CPUs	10
GraphSER: Distance-Aware Stream-Based Edge Repartition for Many-Core Systems	10
Flexible and Effective Object Tiering for Heterogeneous Memory Systems	9
SnsBooster: Enhancing Sampling-Based \mu Arch Evaluation Efficiency through Online Performance Sensitivity Analysis	8
An FPGA Overlay for CNN Inference with Fine-grained Flexible Parallelism	8
ODGS: Dependency-Aware Scheduling for High-Level Synthesis with Graph Neural Network and Reinforcement Learning	8
Accelerating Nearest Neighbor Search in 3D Point Cloud Registration on GPUs	8
Efficient Cross-platform Multiplexing of Hardware Performance Counters via Adaptive Grouping	7
Sectored DRAM: A Practical Energy-Efficient and High-Performance Fine-Grained DRAM Architecture	7
EXPERTISE: An Effective Software-level Redundant Multithreading Scheme against Hardware Faults	7
NEM-GNN: DAC/ADC-less, Scalable, Reconfigurable, Graph and Sparsity-Aware Near-Memory Accelerator for Graph Neural Networks	7
Joint Program and Layout Transformations to Enable Convolutional Operators on Specialized Hardware Based on Constraint Programming	7
Understanding Cache Compression	7
Advancing Direct Convolution Using Convolution Slicing Optimization and ISA Extensions	6
A Fast and Flexible FPGA-based Accelerator for Natural Language Processing Neural Networks	6
RaNAS: Resource-Aware Neural Architecture Search for Edge Computing	6
BridgeGC: An Efficient Cross-Level Garbage Collector for Big Data Frameworks	6
Low-power Near-data Instruction Execution Leveraging Opcode-based Timing Analysis	6
HyGain: High-performance, Energy-efficient Hybrid Gain Cell-based Cache Hierarchy	6
RT-GNN: Accelerating Sparse Graph Neural Networks by Tensor-CUDA Kernel Fusion	6
TPRepair: Tree-based Pipelined Repair in Clustered Storage Systems	6
Environmental Condition Aware Super-Resolution Acceleration Framework in Server-Client Hierarchies	6
Multi-objective Hardware-aware Neural Architecture Search with Pareto Rank-preserving Surrogate Models	5
Orchard: Heterogeneous Parallelism and Fine-grained Fusion for Complex Tree Traversals	5
Sniper: Exploiting Spatial and Temporal Sampling for Large-Scale Performance Analysis	5
Towards High Performance QNNs via Distribution-Based CNOT Gate Reduction	5
PowerMorph: QoS-Aware Server Power Reshaping for Data Center Regulation Service	5
DTAP: Accelerating Strongly-Typed Programs with Data Type-Aware Hardware Prefetching	5
HEngine: A High Performance Optimization Framework on a GPU for Homomorphic Encryption	5
System-level Early-stage Modeling and Evaluation of IVR-assisted Processor Power Delivery System	5
Low I/O Intensity-aware Partial GC Scheduling to Reduce Long-tail Latency in SSDs	5
A Stable Idle Time Detection Platform for Real I/O Workloads	5
OptiFX: Automatic Optimization for Convolutional Neural Networks with Aggressive Operator Fusion on GPUs	4
Exploring Data Layout for Sparse Tensor Times Dense Matrix on GPUs	4
JiuJITsu: Removing Gadgets with Safe Register Allocation for JIT Code Generation	4
GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing	4
gECC: A GPU-based high-throughput framework for Elliptic Curve Cryptography	4
x Meta : SSD-HDD-hybrid Optimization for Metadata Maintenance of Cloud-scale Object Storage	4
Improving Utilization of Dataflow Unit for Multi-Batch Processing	4
WIPE: A Write-Optimized Learned Index for Persistent Memory	4
CASHT: Contention Analysis in Shared Hierarchies with Thefts	4
MemoriaNova: Optimizing Memory-Aware Model Inference for Edge Computing	4
Byte-Select Compression	4
Stripe-schedule Aware Repair in Erasure-coded Clusters with Heterogeneous Star Networks	4
Accelerating Convolutional Neural Network by Exploiting Sparsity on GPUs	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
ERASE: Energy Efficient Task Mapping and Resource Management for Work Stealing Runtimes	4

FlexHM: A Practical System for Heterogeneous Memory with Flexible and Efficient Performance Optimizations	4
All-gather Algorithms Resilient to Imbalanced Process Arrival Patterns	3
SplitZNS: Towards an Efficient LSM-Tree on Zoned Namespace SSDs	3
Abakus: Accelerating k -mer Counting with Storage Technology	3
Towards Enhanced System Efficiency while Mitigating Row Hammer	3
MicroProf : Code-level Attribution of Unnecessary Data Transfer in Microservice Applications	3
Architecting Optically Controlled Phase Change Memory	3
Shift-CIM: In-SRAM Alignment To Support General-Purpose Bit-level Sparsity Exploration in SRAM Multiplication	3
Architectural Support for Sharing, Isolating and Virtualizing FPGA Resources	3
Monolithically Integrating Non-Volatile Main Memory over the Last-Level Cache	3
CoNST: Code Generator for Sparse Tensor Networks	3
Consequence-based Clustered Architecture	3
Scale-out Systolic Arrays	3
TSN Cache: Exploiting Data Localities in Graph Computing Applications	3
FlowPix: Accelerating Image Processing Pipelines on an FPGA Overlay using a Domain Specific Compiler	3
CoolDC: A Cost-Effective Immersion-Cooled Datacenter with Workload-Aware Temperature Scaling	3
TLB-pilot: Mitigating TLB Contention Attack on GPUs with Microarchitecture-Aware Scheduling	3
Iterating Pointers: Enabling Static Analysis for Loop-based Pointers	3