Publications associées à Prefetched Address Translation

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SPARTA: A Divide and Conquer Approach to Address Translation for Accelerators

Babak Falsafi, Javier Picorel Obando, Abhishek Bhattacharjee

Virtual memory (VM) is critical to the usability and programmability of hardware accelerators. Unfortunately, implementing accelerator VM efficiently is challenging because the area and power constraints make it difficult to employ the large multi-level TL ...

2020

Access pattern based optimization of memory access

Anastasia Ailamaki, Georgios Psaropoulos

A method for optimizing memory access for database operations is provided. The method may include identifying an access pattern associated with a database operation. The access pattern may include data required to perform the database operation. One or mor ...

2020

Gain-Cell Embedded DRAMs: Modeling and Design Space

Andreas Peter Burg, Adam Shmuel Teman, Robert Giterman, Andrea Bonetti

Among the different types of DRAMs, gain-cell embedded DRAM (GC-eDRAM) is a compact, low-power and CMOS-compatible alternative to conventional SRAM. GC-eDRAM achieves high memory density as it relies on a storage cell that can be implemented with as few as ...

IEEE2020

Gain-Cell Embedded DRAMs: Modeling and Design Space

Andreas Peter Burg, Adam Shmuel Teman, Robert Giterman, Andrea Bonetti

Among the different types of dynamic random-access memories (DRAMs), gain-cell embedded DRAM (GC-eDRAM) is a compact, low-power, and CMOS-compatible alternative to conventional static random-access memory (SRAM). GC-eDRAM achieves high memory density, as i ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

SoK: Shining Light on Shadow Stacks

Mathias Josef Payer, Xiangyu Zhang

Control-Flow Hijacking attacks are the dominant attack vector against C/C++ programs. Control-Flow Integrity (CFI) solutions mitigate these attacks on the forward edge, i.e., indirect calls through function pointers and virtual calls. Protecting the backwa ...

IEEE COMPUTER SOC2019

Pythia: Remote Oracles for the Masses

Mathias Josef Payer, Yuqing Zhang

Remote Direct Memory Access (RDMA) is a technology that allows direct access from the network to a machine's main memory without involving its CPU. RDMA offers low-latency, high-bandwidth performance and low CPU utilization. While RDMA provides massive per ...

USENIX ASSOC2019

SixTrack Version 5: Status and New Developments

Igor Zacharov, Riccardo De Maria, Giovanni Iadarola, Dario Pellegrini, Massimo Giovannozzi

SixTrack Version 5 is a major SixTrack release that introduces new features, with improved integration of the existing ones, and extensive code restructuring. New features include dynamic-memory management, scattering-routine integration, a new initial-con ...

IOP PUBLISHING LTD2019

Near-Memory Address Translation

Babak Falsafi, Javier Picorel Obando

Memory and logic integration on the same chip is becoming increasingly cost effective, creating the opportunity to offload data-intensive functionality to processing units placed inside memory chips. The introduction of memory-side processing units (MPUs) ...

Ieee2017

Prefetched Address Translation

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SPARTA: A Divide and Conquer Approach to Address Translation for Accelerators

Access pattern based optimization of memory access

Gain-Cell Embedded DRAMs: Modeling and Design Space

Gain-Cell Embedded DRAMs: Modeling and Design Space

Distributed Computing with Modern Shared Memory

SoK: Shining Light on Shadow Stacks

Pythia: Remote Oracles for the Masses

SixTrack Version 5: Status and New Developments

Near-Memory Address Translation

Near-Memory Address Translation

SPARTA: A Divide and Conquer Approach to Address Translation for Accelerators

Gain-Cell Embedded DRAMs: Modeling and Design Space

Distributed Computing with Modern Shared Memory

Near-Memory Address Translation

SoK: Shining Light on Shadow Stacks

Access pattern based optimization of memory access

SixTrack Version 5: Status and New Developments

Near-Memory Address Translation

Gain-Cell Embedded DRAMs: Modeling and Design Space

Pythia: Remote Oracles for the Masses