ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:

20 results for “High-Throughput Computing (HTC)”

CS papers only

Hybrid search: Keyword + semantic, ranked by combined score.ⓘ

Want pure semantic search? Try claim verification →

cs.ARcs.AIcs.SERecentJun 2, 2026

HighTide: An Agent-Curated Open-Source VLSI Benchmark Suite

Benjamin Goldblatt, Paolo Pedroso, Farhad Modaresi, Ethan Sifferman +1 more

HighTide is an evolving, AI-assisted, open-source benchmark suite for VLSI design, providing a comprehensive and scalable platform for hardware development.

View →
cs.DCcs.SENEWEmpiricalJul 29, 2026

Hybrid Workflow Composition for Extreme-Scale Data Processing: A Case Study on the HL-LHC (Extended Version)

Alan Malta Rodrigues, Douglas Thain

This paper presents a simulation framework to optimize workflow composition in high-throughput computing environments, demonstrating up to 3.8x throughput increase and a 14.9x reduction in network ove…

View →
cs.DCEmpiricalRecentJul 25, 2026

Application-Driven Architecture Exploration for Cross-Layer Heterogeneous Systems

Yuchen Fan, Minghong Sun, Jikui Ma, Yunpeng Xu +18 more

The paper presents CHASE, an application-driven framework that explores physically feasible Cross-layer Heterogeneous System architectures for executing workloads with diverse requirements.

View →
cs.CRcs.ARcs.PFRecentJun 1, 2026

Implementation and Optimization of HQC Decoding on NPU-Integrated Devices

Vu Minh Chau, Nguyen Ngoc Kiet, Pham Quang Minh, Mai Xuan Ngoc +2 more

This paper optimizes the decoding of Hamming Quasi-Cyclic (HQC) codes for post-quantum cryptography on NPU-integrated mobile devices by redesigning the core kernels to leverage the Hexagon Vector eXte…

View →
cs.CRcs.ARcs.PFRecentJun 1, 2026

Implementation and Optimization of HQC Decoding on NPU-Integrated Devices

Vu Minh Chau, Nguyen Ngoc Kiet, Pham Quang Minh, Mai Xuan Ngoc +2 more

This paper optimizes the decoding of Hamming Quasi-Cyclic (HQC) codes for post-quantum cryptography on NPU-integrated mobile devices by redesigning the kernels to leverage the Hexagon Vector eXtension…

View →
cs.CRRecentMay 13, 2026

HE-PIM: Demystifying Homomorphic Operations on a Real-world Processing-in-Memory System

Harshita Gupta, Mayank Kabra, Jaewoo Park, Priyam Mehta +8 more

The paper characterizes Homomorphic Encryption (HE) operations on a real-world Processing-In-Memory (PIM) system, demonstrating that while PIM is a viable alternative to CPUs/GPUs, performance is limi…

View →
cs.DCEmpiricalRecentJul 9, 2026

On the Limitations of Non-GPU AI Accelerators for Large-Model Inference: A Field Study of MoE and Multimodal Serving on Huawei Ascend

Zheng Yu

The paper presents a field study on deploying large inference workloads on a non-GPU AI accelerator and identifies eight categories of limitations.

View →
q-bio.BMcs.ARcs.ETEmpiricalRecentJun 15, 2026

Energy-efficient codon optimization on thermodynamic hardware

Andraz Jelincic, Ross C. Walker

This paper presents the first application of thermodynamic computing to mRNA codon optimization in pharmaceutical R&D, achieving significant energy savings compared to conventional GPUs.

View →
cs.DCcs.OSEmpiricalRecentJun 23, 2026

Aquifer: Hierarchical Memory Pooling with CXL and RDMA for MicroVM Snapshots

Junliang Hu, Huaicheng Li, Ming-Chang Yang

Aquifer is the first system to serve MicroVM snapshots from a hierarchical CXL+RDMA memory pool, achieving 2.2x geometric-mean speedup in end-to-end invocation time over Firecracker.

View →
cs.ARcs.ETRecentMay 27, 2026

Nonvolatile Charge-Domain Attention with HZO Ferroelectric Capacitors: A Simulation-Based Device-to-System Evaluation

Faris Abouagour

The paper proposes a Ferroelectric Charge-Domain Compute Cell (FCDC) using HZO memcapacitors to perform attention computation, achieving significant energy efficiency gains, especially for long-reside…

View →
cs.AREmpiricalRecentJun 26, 2026

Phase Matters: Characterizing Heterogeneous Vision-Language Inference on a Mobile SoC

Aryama V Murthy, Yashas N Kotre, Prathmesh Sharma, Pragya Mishra +2 more

This paper characterizes the performance of vision-language model inference on the Qualcomm SM8750 using FastVLM-0.5B as a case study, showing significant speedups and energy savings for different pha…

View →
cs.AREmpiricalRecentJun 10, 2026

BenDi: An Energy-Efficient Quasi-Stochastic Systolic Architecture for Edge Bioelectronics

Bochen Ye, Yihan Pan, Shady Agwa, Themis Prodromakis

This paper presents BenDi, an energy-efficient quasi-stochastic systolic architecture for bioelectronic systems on the edge.

View →
cs.ROcs.AISurveyRecentJul 21, 2026

Computing on the Fly: Navigating a Vision for the Future of Drone Computing

Kevin Butler, Christopher Stewart, Nils Aschenbruck, Alina Gerall +3 more

This paper identifies and discusses twelve technical challenges that need to be addressed to safely and effectively scale drone technology for commercial use.

View →
cs.ARcs.AIRecentMay 30, 2026

LP5X-PIM Sim: A High-Fidelity HW/SW Integrated Simulator for LPDDR5X-PIM

SangHoon Cha, Jaewan Choi, Byeongho Kim, Yoonah Paik +2 more

This paper introduces a high-fidelity, integrated hardware-software simulator for LPDDR5X-PIM, enabling precise evaluation of system performance and energy efficiency.

View →
cs.PFcs.ARcs.DCRecentMay 27, 2026

Rotary GPU: Exploring Local Execution Paths for Large Mixture-of-Experts Models Under Limited GPU Memory

Myeong Jun Jo

The paper introduces Rotary GPU, an exploratory execution approach demonstrating that large Mixture-of-Experts models can be run locally on consumer GPUs with limited VRAM, achieving usable decode thr…

View →