Software Synthesis Procedures

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Many programming languages in the OO tradition now support pattern matching in some form. Historical examples include Scala and Ceylon, with the more recent additions of Java, Kotlin, TypeScript, and Flow. But pattern matching on generic class hierarchies ...

Over the past decade, the Scala community has shown great interest in using type-level programming to obtain additional type safety. Unfortunately, the lack of support from the Scala compiler has been a barrier to the adoption of that technique, notably du ...

Formally verifying the correctness of software network functions (NFs) is necessary for network reliability, yet existing techniques require full source code and mandate the use of specific data structures. We describe an automated technique to verify NF b ...

High-level synthesis (HLS) tools typically generate statically scheduled datapaths. Static scheduling implies that the resulting circuits have a hard time exploiting parallelism in code with potential memory dependences, with control dependences, or where ...

A central task in high-level synthesis is scheduling: the allocation of operations to clock cycles. The classic approach to scheduling is static, in which each operation is mapped to a clock cycle at compile-time, but recent years have seen the emergence o ...

High-level synthesis (HLS) is the process of automatically generating circuits out of high-level language descriptions. Previous research has shown that dynamically scheduled HLS through elastic circuit generation is successful at exploiting parallelism in ...

FLUKA is a general purpose Monte Carlo code able to describe the transport and interaction of any particle and nucleus type in complex geometries over an energy range extending from thermal neutrons to ultrarelativistic hadron collisions. It has many diffe ...

Software Synthesis Procedures

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A case for DOT: Theoretical Foundations for Objects with Pattern Matching and GADT-Style Reasoning

Abstractions for Type-Level Programming

Automated Verification of Network Function Binaries

From C/C plus plus Code to High-Performance Dataflow Circuits

DASS: Combining Dynamic & Static Scheduling in High-Level Synthesis

Unleashing Parallelism in Elastic Circuits with Faster Token Delivery

New Capabilities of the FLUKA Multi-Purpose Code