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Mitigating Load Imbalance in Distributed Data Serving with Rack-Scale Memory Pooling

Publications associées (31)

Rebooting Virtual Memory with Midgard

Virtual Memory (VM) is a critical programming abstraction that is widely used in various modern computing platforms. With the rise of datacenter computing and birth of planet-scale online services, the semantic and capacity requirements from memory have ev ...

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Chaosity: Understanding Contemporary NUMA-architectures

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Modern hardware is increasingly complex, requiring increasing effort to understand in order to carefully engineer systems for optimal performance and effective utilization. Moreover, established design principles and assumptions are not portable to modern ...

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Engram cell connectivity as a mechanism for information encoding and memory function

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Information derived from experiences is incorporated into the brain as changes to ensembles of cells, termed engram cells, which allow memory storage and recall. The mechanism by which those changes hold specific information is unclear. Here, we test the h ...

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This thesis demonstrates that it is feasible for systems code to expose a latency interface that describes its latency and related side effects for all inputs, just like the code's semantic interface describes its functionality and related side effects. S ...

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Analytical engines rely on in-memory data caching to avoid storage accesses and provide timely responses by keeping the most frequently accessed data in memory. Purely frequency- and time-based caching decisions, however, are a proxy of the expected query ...

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Key-Value Stores (KVS) are foundational infrastructure components for online services. Due to their latency-critical nature, today’s best-performing KVS contain a plethora of full-stack optimizations commonly targeting read-mostly, popularity-skewed worklo ...

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Overflow-free compute memories for edge AI acceleration

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Compute memories are memory arrays augmented with dedicated logic to support arithmetic. They support the efficient execution of data-centric computing patterns, such as those characterizing Artificial Intelligence (AI) algorithms. These architectures can ...

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Security in the Presence of Quantum Adversaries

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With the looming threat of large-scale quantum computers, a fair portion of recent cryptographic research has focused on examining cryptographic primitives from the perspective of a quantum adversary. Shor's 1994 result revealed that quantum computers can ...

EPFL2023

Mitigating Load Imbalance in Distributed Data Serving with Rack-Scale Memory Pooling

Rebooting Virtual Memory with Midgard

Chaosity: Understanding Contemporary NUMA-architectures

Engram cell connectivity as a mechanism for information encoding and memory function

Latency Interfaces for Systems Code

HPCache: memory-efficient OLAP through proportional caching revisited

Harmonization of multi-scanner in vivo magnetic resonance spectroscopy: ENIGMA consortium task group considerations

Cooperative Concurrency Control for Write-Intensive Key-Value Workloads

Overflow-free compute memories for edge AI acceleration

Security in the Presence of Quantum Adversaries

Graph Chatbot

Rebooting Virtual Memory with Midgard

Chaosity: Understanding Contemporary NUMA-architectures

Identification of typical district configurations: A two-step global sensitivity analysis framework

Engram cell connectivity as a mechanism for information encoding and memory function

Latency Interfaces for Systems Code

HPCache: memory-efficient OLAP through proportional caching revisited

Harmonization of multi-scanner in vivo magnetic resonance spectroscopy: ENIGMA consortium task group considerations

Cooperative Concurrency Control for Write-Intensive Key-Value Workloads

Overflow-free compute memories for edge AI acceleration

Security in the Presence of Quantum Adversaries

Identification of typical district configurations: A two-step global sensitivity analysis framework