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 2021-05-01 to 2025-05-01.)

Article	Citations
An Accelerator for Sparse Convolutional Neural Networks Leveraging Systolic General Matrix-matrix Multiplication	37
Object Intersection Captures on Interactive Apps to Drive a Crowd-sourced Replay-based Compiler Optimization	32
Spiking Neural Networks in Spintronic Computational RAM	31
ASM: An Adaptive Secure Multicore for Co-located Mutually Distrusting Processes	30
TNT: A Modular Approach to Traversing Physically Heterogeneous NOCs at Bare-wire Latency	29
TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework	25
An Intelligent Scheduling Approach on Mobile OS for Optimizing UI Smoothness and Power	23
Highly Efficient Self-checking Matrix Multiplication on Tiled AMX Accelerators	18
ModNEF : An Open Source Modular Neuromorphic Emulator for FPGA for Low-Power In-Edge Artificial Intelligence	17
DCMA: Accelerating Parallel DMA Transfers with a Multi-Port Direct Cached Memory Access in a Massive-Parallel Vector Processor	16
Building a Fast and Efficient LSM-tree Store by Integrating Local Storage with Cloud Storage	16
SIMD-Matcher: A SIMD-based Arbitrary Matching Framework	15
Source Matching and Rewriting for MLIR Using String-Based Automata	15
COER: A Network Interface Offloading Architecture for RDMA and Congestion Control Protocol Codesign	14
Fast Convolution Meets Low Precision: Exploring Efficient Quantized Winograd Convolution on Modern CPUs	14
Tiaozhuan: A General and Efficient Indirect Branch Optimization for Binary Translation	14
A Concise Concurrent B ⁺ -Tree for Persistent Memory	13
Locality-Aware CTA Scheduling for Gaming Applications	13
Mentor: A Memory-Efficient Sparse-dense Matrix Multiplication Accelerator Based on Column-Wise Product	12
DeepZoning: Re-accelerate CNN Inference with Zoning Graph for Heterogeneous Edge Cluster	12
Accelerating Video Captioning on Heterogeneous System Architectures	12
Domain-Specific Multi-Level IR Rewriting for GPU	12
A NUMA-Aware Version of an Adaptive Self-Scheduling Loop Scheduler	11
iSwap: A New Memory Page Swap Mechanism for Reducing Ineffective I/O Operations in Cloud Environments	11
COX : Exposing CUDA Warp-level Functions to CPUs	10

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

Shift-CIM: In-SRAM Alignment To Support General-Purpose Bit-level Sparsity Exploration in SRAM Multiplication	3
Architecting Optically Controlled Phase Change Memory	3
Preserving Addressability Upon GC-Triggered Data Movements on Non-Volatile Memory	3
Abakus: Accelerating k -mer Counting with Storage Technology	3
WIPE: A Write-Optimized Learned Index for Persistent Memory	3
CoolDC: A Cost-Effective Immersion-Cooled Datacenter with Workload-Aware Temperature Scaling	3
Architectural Support for Sharing, Isolating and Virtualizing FPGA Resources	3
Scale-out Systolic Arrays	3
MicroProf : Code-level Attribution of Unnecessary Data Transfer in Microservice Applications	3
CoNST: Code Generator for Sparse Tensor Networks	3
Koala: Efficient Pipeline Training through Automated Schedule Searching on Domain-Specific Language	3
Monolithically Integrating Non-Volatile Main Memory over the Last-Level Cache	3
CASHT: Contention Analysis in Shared Hierarchies with Thefts	3
TSN Cache: Exploiting Data Localities in Graph Computing Applications	3